SlideShare a Scribd company logo
1 of 23
Download to read offline
Fast Variant Calling with
ADAM and avocado
Frank Austin Nothaft, UC Berkeley AMPLab
fnothaft@berkeley.edu, @fnothaft
2/19/2015
Data Intensive Genomics
• New population-scale experiments will sequence
10-100k samples
• 100k samples @ 60x WGS will generate ~20PB of
read data and ~300TB of genotype data
• End-to-end pipeline latency is important to clinical work
• We want to jointly analyze samples to uncover low
frequency variations
How can we improve
analysis productivity?
• Flat file formats sacrifice interoperability but do not
improve performance
• Common sort order invariants imposed by tools
compromise correctness
• Genomics APIs tend to be at a lower level of
abstraction, which compromises productivity
Our building block: ADAM
• ADAM is an open source, high performance, distributed
platform for genomic analysis
• ADAM defines a:
1. Data schema and layout on disk*
2. Programming interface for distributed processing
of genomic data**
3. Command line interface
* Via Parquet and Avro
** Work on Python integration is underway
ADAM’s guiding principle:
Use a schema as a narrow waist
Application
Transformations
Physical Storage
Attached Storage
Data Distribution
Parallel FS
Materialized Data
Columnar Storage
Evidence Access
MapReduce/DBMS
Presentation
Enriched Models
Schema
Data Models
Variant calling & analysis,
RNA-seq analysis, etc.
Disk, SDD, block
store, memory cache
HDFS, Tachyon, HPC file
systems, S3
Load data from Parquet and
legacy formats
Spark, Spark-SQL,
Hadoop
Enriched Read/Variant
Avro Schema for reads,
variants, and genotypes
Users define analyses
via transformations
Enriched models provide convenient
methods on common models
The evidence access layer
efficiently executes transformations
Schemas define the logical
structure of basic genomic objects
Common interfaces map logical
schema to bytes on disk
Parallel file system layer
coordinates distribution of data
Decoupling storage enables
performance/cost tradeoff
Data Format
• Schema can be updated without
breaking backwards compatibility
• Normalize metadata fields into
schema for O(1) metadata access
• Models are “dumb”; enhance as
necessary with rich objects
record AlignmentRecord {	
union { null, Contig } contig = null;	
union { null, long } start = null;	
union { null, long } end = null;	
union { null, int } mapq = null;	
union { null, string } readName = null;	
union { null, string } sequence = null;	
union { null, string } mateReference = null;	
union { null, long } mateAlignmentStart = null;	
union { null, string } cigar = null;	
union { null, string } qual = null;	
union { null, string } recordGroupName = null;	
union { int, null } basesTrimmedFromStart = 0;	
union { int, null } basesTrimmedFromEnd = 0;	
union { boolean, null } readPaired = false;	
union { boolean, null } properPair = false;	
union { boolean, null } readMapped = false;	
union { boolean, null } mateMapped = false;	
union { boolean, null } firstOfPair = false;	
union { boolean, null } secondOfPair = false;	
union { boolean, null } failedVendorQualityChecks = false;	
union { boolean, null } duplicateRead = false;	
union { boolean, null } readNegativeStrand = false;	
union { boolean, null } mateNegativeStrand = false;	
union { boolean, null } primaryAlignment = false;	
union { boolean, null } secondaryAlignment = false;	
union { boolean, null } supplementaryAlignment = false;	
union { null, string } mismatchingPositions = null;	
union { null, string } origQual = null;	
union { null, string } attributes = null;	
union { null, string } recordGroupSequencingCenter = null;	
union { null, string } recordGroupDescription = null;	
union { null, long } recordGroupRunDateEpoch = null;	
union { null, string } recordGroupFlowOrder = null;	
union { null, string } recordGroupKeySequence = null;	
union { null, string } recordGroupLibrary = null;	
union { null, int } recordGroupPredictedMedianInsertSize = null;	
union { null, string } recordGroupPlatform = null;	
union { null, string } recordGroupPlatformUnit = null;	
union { null, string } recordGroupSample = null;	
union { null, Contig } mateContig = null;	
}
Schemas at https://www.github.com/bigdatagenomics/bdg-formats
Parquet
• ASF Incubator project, based
on Google Dremel
• High performance columnar
store with support for
projections and push-down
predicates
• Short read data stored in
Parquet achieves a 25%
improvement in size over
compressed BAM
Image from Parquet format definition: https://www.github.com/apache/incubator-parquet-format
Backwards Compatibility
• Short reads: compatible with SAM, BAM, FASTQ
• Convert on read and write
• Working on CRAM support
• Variants, genotypes, and variant annotations
schemas can convert to/from VCF
• Support wide variety of genomic annotation formats
(e.g., GTF, BED, narrowPeak)
ADAM’s API Design
• ADAM is built on top of Apache Spark, which
provides the RDD abstraction —> distributed arrays
• Common primitives include:
• Aggregates: BQSR, Indel Realignment
• Bucketing: Duplicate Marking, Concordance
• Region Joins: Variant Calling and Filtration
ADAM’s Performance
• Achieve linear scalability out
to 128 nodes for most tasks
• 2-4x improvement over {GATK,
samtools,Picard} on single
node
Analysis run using Amazon EC2, single node was hs1.8xlarge, cluster was m2.4xlarge
Scripts available at https://www.github.com/fnothaft/bdg-recipes.git, “sigmod" branch
ADAM: Implementation
• 27k LOC (94% Scala)
• Apache 2 licensed OSS
• 33 contributors across 12 institutions
BDG: ADAM’s Ecosystem
!
ADAM:!
Core API +
CLIs
bdg-
formats:!
Data
schemas
RNAdam:!
RNA analysis
on ADAM
avocado:!
Distributed local
assembler
PacMin:!
Long read
assembly
eggo:!
Datasets
Downstream focus:
Genome Resequencing
• We’re working on two approaches:
• avocado: find variants via local reassembly
• PacMin: use long reads to find variants via de
novo assembly
• We’ll focus on avocado today
What are the challenges?
• For accurate INDEL discovery, we want to
reassemble variants, but reassembly is expensive
• We need to statistically integrate over a large
collection of samples to discover low frequency
variants
• The reference genome is not always representative
avocado performs efficient
de Bruijn reassembly
ACACTGCACT
ACA
CAC
ACT
CTG
TGC
GCA
CAC
ACT
ACA CAC ACT
CTGTGCGCA
• Several high accuracy variant callers (GATK, Platypus,
Scalpel) reassemble reads aligned at genomic regions
• Typically use a de Bruijn graph: nodes are k-mers, and
edges represent observed transitions between k-mers
Efficient Local Reassembly
• Current methods elaborate all paths through the graph, perform O(hn)
realignments at O(lrlh) cost, score O(h2
) haplotype pairs
• Instead, identify “bubbles” and emit statistics directly from the graph:
• Eliminate expensive realignment!
• Variant alleles are provably canonical.
ACA CAC ACT
CTGTGCGCA
CTTTTCTCA
Reference:
CTGA
Bubble:
CTTA
h: number of haplotypes (paths), n: number of reads, lr: read length, lh: haplotype length
Proofs that alleles are canonical are too long for slides; will gladly share offline.
Otherwise,
ACCCAAATCTAATCAAGGC
CCCAAATCTAATCAAGGCT
CATTGCCATTTACCCTGCT
ATTGCCATTTACCCTGCTT
TTGCCATTTACCCTGCTTG
GAGGAAGAATTTGAGATGA
AGGAAGAATTTGAGATGAG
GGAAGAATTTGAGATGAGG
GACTAAGGAAGATCATGAA
ACTAAGGAAGATCATGAAA
CTAAGGAAGATCATGAAAT
ACTCCCAAGCTCTAGGATA
CTCCCAAGCTCTAGGATAT
TCCCAAGCTCTAGGATATA
GAGGGGACGGATTTGCTGC
AGGGGACGGATTTGCTGCC
GGGGACGGATTTGCTGCCT
TACCAGAGCCTGTTATATT
ACCAGAGCCTGTTATATTT
CCAGAGCCTGTTATATTTT
CATGAAATACCACCATGGG
ATGAAATACCACCATGGGG
TGAAATACCACCATGGGGA
TCAATCAGCAAATTCTGAA
CAATCAGCAAATTCTGAAA
AATCAGCAAATTCTGAAAT
GAGGAGGGCATTAGAATAG
AGGAGGGCATTAGAATAGA
GGAGGGCATTAGAATAGAA
TTTGCTGCCTCTGAGGAGG
TTGCTGCCTCTGAGGAGGG
TGCTGCCTCTGAGGAGGGC
ACTCCAGGAAAAAGTCAGC
CTCCAGGAAAAAGTCAGCT
TCCAGGAAAAAGTCAGCTG
GGCCTAAAAGTACAAAAAA
GCCTAAAAGTACAAAAAAA
CCTAAAAGTACAAAAAAAC
TATCCTTCACCCTGCTTGG
ATCCTTCACCCTGCTTGGC
TCCTTCACCCTGCTTGGCC
AGAAAAATTAGTTTCCAGA
GAAAAATTAGTTTCCAGAG
AAAAATTAGTTTCCAGAGC
TACCACCATGGTGATTCAA
ACCACCATGGTGATTCAAT
CCACCATGGTGATTCAATC
GGTCTAAAAGTACAAAATA
GTCTAAAAGTACAAAATAA
TCTAAAAGTACAAAATAAC
CCAGAGCCAGTTATATTTT
CAGAGCCAGTTATATTTTG
AGAGCCAGTTATATTTTGA
TACCAAGGACAAAGGAAGA
ACCAAGGACAAAGGAAGAT
CCAAGGACAAAGGAAGATC
CCTGCTTGACTTAAAAGTA
CTGCTTGACTTAAAAGTAC
TGCTTGACTTAAAAGTACA
GCTCTAGGACATACCAAGG
CTCTAGGACATACCAAGGA
TCTAGGACATACCAAGGAC
AATCAGCAAAGTCTGAAAT
ATCAGCAAAGTCTGAAATG
TCAGCAAAGTCTGAAATGC
GGAAGATCATGAAATCCCA
GAAGATCATGAAATCCCAC
AAGATCATGAAATCCCACC
NNNNNNNNNNNNTTTCTGA
NNNNNNNNNNNTTTCTGAA
NNNNNNNNNNTTTCTGAAT
CCAGAGCCAGTTATACTTT
CAGAGCCAGTTATACTTTG
AGAGCCAGTTATACTTTGA
ATGAAATCCCACCATGGGG
TGAAATCCCACCATGGGGA
GAAATCCCACCATGGGGAT
AATCAGCCAATTCTGAAAT
ATCAGCCAATTCTGAAATG
TCAGCCAATTCTGAAATGC
GAGATTCAATCAGCAAATT
AGATTCAATCAGCAAATTC
GATTCAATCAGCAAATTCT
CCAGGAAAAAGTCAGCTGT
CAGGAAAAAGTCAGCTGTG
AGGAAAAAGTCAGCTGTGT
AATTTGAGATGAGGGGACG
ATTTGAGATGAGGGGACGG
TTTGAGATGAGGGGACGGA
AATAACACGAAGAAAAATT
ATAACACGAAGAAAAATTA
TAACACGAAGAAAAATTAG
AATCAACGATAGAATATAC
ATCAACGATAGAATATACA
TCAACGATAGAATATACAG
GCCAGTTATATTTTGAAAA
CCAGTTATATTTTGAAAAA
GCCTAAAAGGACAAAACAA
CCTAAAAGGACAAAACAAC
CTAAAAGGACAAAACAACA
AAAATAACACGAGGAAAAA
AAATAACACGAGGAAAAAT
AATAACACGAGGAAAAATT
GCTTGACTTAAAAGTACAA
AACTCCCAAGCTCTAGGAC
ACTCCCAAGCTCTAGGACA
CTCCCAAGCTCTAGGACAT
GAAGAACCATTAGTTACCA
AAGAACCATTAGTTACCAG
AGAACCATTAGTTACCAGA
TCCCAAGCTCTAGGACATA
ATCCTTCCCCCTGCTTGGC
TCCTTCCCCCTGCTTGGCC
CCTTCCCCCTGCTTGGCCT
ATCACCCAAAAACCAAGAA
TCACCCAAAAACCAAGAAT
CACCCAAAAACCAAGAATC
AAGGACAAAGGAAGATCAT
AGGACAAAGGAAGATCATG
GGACAAAGGAAGATCATGA
AAAAACACGAAGAACCATT
AAAACACGAAGAACCATTA
AAACACGAAGAACCATTAG
GAGCCAGTTATATTTTGAA
AGCCAGTTATATTTTGAAA
TTAGTTTCCACAGCCTGTT
TAGTTTCCACAGCCTGTTA
AGTTTCCACAGCCTGTTAT
ACATTATCCTTCACCCTGC
CATTATCCTTCACCCTGCT
ATTATCCTTCACCCTGCTT
CCATCGGAATCCACTCAGC
CATCGGAATCCACTCAGCA
ATCGGAATCCACTCAGCAA
ATACCAAGGACAAAGGAAG
GGGACGGATTTGCTGCCTC
GGACGGATTTGCTGCCTCT
CAAAGCTAATCAAGGCTCC
AAAGCTAATCAAGGCTCCC
AAGCTAATCAAGGCTCCCA
ATTAGTTTCCAGAGCCAGT
TTAGTTTCCAGAGCCAGTT
TAGTTTCCAGAGCCAGTTA
TACCTCCCAAGCTCTAGGA
ACCTCCCAAGCTCTAGGAT
CCTCCCAAGCTCTAGGATA
TGCAACATTGCCATTTACC
GCAACATTGCCATTTACCC
CAACATTGCCATTTACCCT
GTGAAATGCAACATTGCCA
TGAAATGCAACATTGCCAT
GAAATGCAACATTGCCATT
AAATCCCACCATGGGGATT
AATCCCACCATGGGGATTC
ATCCCACCATGGGGATTCA
CAGCAAATTCTGAAATGCN
AGCAAATTCTGAAATGCNN
GCAAATTCTGAAATGCNNN
NNNNNNNNNNNNNNNANAT
NNNNNNNNNNNNNNANATT
NNNNNNNNNNNNNANATTN
ATCAAGGCTCCCACTCTAC
TCAAGGCTCCCACTCTACC
CAAGGCTCCCACTCTACCT
TTATCCTTCACCCTGCTTG
TATCCTTCACCCTGCTTGA
CCAAGCTCTAGGATATACC
CAAGCTCTAGGATATACCA
AAGCTCTAGGATATACCAAAGAATCAACGATAGAATAT
GAATCAACGATAGAATATA
GCCAGTTATATTGTTAAAA
CCAGTTATATTGTTAAAAA
CAGTTATATTGTTAAAAAT
CTCAGCAAATTCTGAAATG
TCAGCAAATTCTGAAATGC
CAGCAAATTCTGAAATGCA
ATATTGTTAAAAATCACCC
TATTGTTAAAAATCACCCA
ATTGTTAAAAATCACCCAA
GATCATGAAATCCCACCAT
ATCATGAAATCCCACCATG
TCATGAAATCCCACCATGG
CCCAAGCTCTAGGACATAC
CCAAGCTCTAGGACATACC
TTCCACAGCCTGTTATATT
TCCACAGCCTGTTATATTT
CCACAGCCTGTTATATTTT
GAAATACCACCATGGTGAT
AAATACCACCATGGTGATT
AATACCACCATGGTGATTC
CCATGNGGATTCAATCAGC
CATGNGGATTCAATCAGCA
ATGNGGATTCAATCAGCAA
GCCTGTTATATTTTGAAAA
CCTGTTATATTTTGAAAAACCTGTTATATTTTGAAAAC
ATGGGGATTCAATCAGCAA
TGGGGATTCAATCAGCAAA
GGGGATTCAATCAGCAAAGGGGGATTCAATCAGCAAAT
TATCCTTCACCCCGCTTGG
ATCCTTCACCCCGCTTGGC
TCCTTCACCCCGCTTGGCC
AGGAAGATCATGAAATACC
GGAAGATCATGAAATACCA
GAAGATCATGAAATACCAC
CCAATTCTGAAATGCAACA
CAATTCTGAAATGCAACAT
AATTCTGAAATGCAACATT
ATTCAATCAGCAAATTCTG
TTCAATCAGCAAATTCTGA
CCCCCTGCTTGGCCTAAAA
CCCCTGCTTGGCCTAAAAG
CCCTGCTTGGCCTAAAAGT
TAGACCAAGGACAAAGGAA
AGACCAAGGACAAAGGAAG
GACCAAGGACAAAGGAAGA
TGCCTCTGAGGAGGGCATT
GCCTCTGAGGAGGGCATTA
CCTCTGAGGAGGGCATTAG
ATCTAATCAAGGCTCCCAC
TCTAATCAAGGCTCCCACT
CTAATCAAGGCTCCCACTC
TATACCAAGGACAAAGGAA
TCACCCTGCTTGGCCTAAA
CACCCTGCTTGGCCTAAAA
ACCCTGCTTGGCCTAAAAG
CAATCTGAGGAAGAATTTG
AATCTGAGGAAGAATTTGA
ATCTGAGGAAGAATTTGAG
TCATTATCCTTCCCCCTGC
CATTATCCTTCCCCCTGCT
ATTATCCTTCCCCCTGCTT
CTGCCTCTGAGGAGGGCAT
CNNNNNNNNNNNNNNNNNN
NNNNNNNNNNNNNNNNNNN
NNNNNNNNNNNNNNNNNNTNNNNNNNNNNNNNNNNNNA
TACAAAATAACACGAAGAA
ACAAAATAACACGAAGAAA
CAAAATAACACGAAGAAAA
AACGATAGAATATACAGTA
ACGATAGAATATACAGTAC
CGATAGAATATACAGTACA
AATGCATCATTATCCTTCC
ATGCATCATTATCCTTCCC
TGCATCATTATCCTTCCCC
AGTACAAAATAACACGAAG
GTACAAAATAACACGAAGA
TTACCAGAGCCTGTTATAT
GTACATTCCTTCCCCGGAA
TACATTCCTTCCCCGGAAG
ACATTCCTTCCCCGGAAGC
GTTTCCAGAGCCTGTTATA
TTTCCAGAGCCTGTTATAT
TTCCAGAGCCTGTTATATT
AACTCCAGGAAAAAGTCAG
TCGATCAGCAAATTCTGAA
CGATCAGCAAATTCTGAAA
GATCAGCAAATTCTGAAAT
AGCTTCCACAGTTGCATCA
GCTTCCACAGTTGCATCAG
CTTCCACAGTTGCATCAGC
GCATCATTATCCTTCCCCC
CATCATTATCCTTCCCCCT
ATCATTATCCTTCCCCCTG
GATAGAATATACAGTACAT
AAAATAACACGAAGAAAAA
AAATAACACGAAGAAAAAT
ATTCTGAAATGCATCATTA
TTCTGAAATGCATCATTAT
TCTGAAATGCATCATTATC
AGTTTCCAGAGCCTGTTAT
ACACGAAGAAAAATTAGTT
CACGAAGAAAAATTAGTTT
ACGAAGAAAAATTAGTTTC
TCTACCTCCCAAGCTCTAG
CTACCTCCCAAGCTCTAGG
AAAGGAAGATCATGAAATA
AAGGAAGATCATGAAATAC
AATTAGTTTCCAGAGCCAG
TTATCCTTCCCCCTGCTTG
TATCCTTCCCCCTGCTTGG
GATAGACCAAGGACAAAGG
ATAGACCAAGGACAAAGGA
CAACGATAGAATATACAGT
CCACCATCGGAATCCACTC
CACCATCGGAATCCACTCA
ACCATCGGAATCCACTCAG
CTAGGACATACCAAGGACA
TAGGACATACCAAGGACAA
AGGACATACCAAGGACAAA
AAAAAAACACGAAGAACCA
AAAAAACACGAAGAACCAT
GGGATTCAATCAGCAAAGTGGGATTCAATCAGCAAATT
CAAATTCTGAAATGCAACA
AAATTCTGAAATGCAACAT
GCTGCCTCTGAGGAGGGCA
CCCCGCTTGGCCTAAAAGT
CCCGCTTGGCCTAAAAGTA
CCGCTTGGCCTAAAAGTAC
GAATATACAGTACATTCCT
AATATACAGTACATTCCTT
ATATACAGTACATTCCTTC
TGGGGATTCGATCAGCAAA
GGGGATTCGATCAGCAAAT
GGGATTCGATCAGCAAATT
AACATTATCCTTCACCCTG
CACTCTAACTCCCAAGCTC
ACTCTAACTCCCAAGCTCT
CTCTAACTCCCAAGCTCTA
CTAAAAGTACAAAAAAACA
CACCATGGTGATTCAATCA
ACCATGGTGATTCAATCAG
TAAAAGTACAAAAAAACAC
TGGCCTAAAAGGACAAAAC
GGCCTAAAAGGACAAAACA
AATACCACCATGGGGATTC
ATACCACCATGGGGATTCA
TACCACCATGGGGATTCAA
TAACTCCCAAGCTCTAGGA
AACTCCCAAGCTCTAGGAT
CCAAATCTAATCAAGGCTC
CAAATCTAATCAAGGCTCC
NATTAGTTTCCAGAGCCTG
ATTAGTTTCCAGAGCCTGT
TTAGTTTCCAGAGCCTGTT
TCTGAAATGCAACATTATC
CTGAAATGCAACATTATCC
TGAAATGCAACATTATCCT
TAGAATAACTCCAGGAAAA
AGAATAACTCCAGGAAAAA
GAATAACTCCAGGAAAAAG
TTCACCCTGCTTGGCCTAA
CATTATCCTTCACCCCGCT
ATTATCCTTCACCCCGCTT
TTATCCTTCACCCCGCTTG
TAGTTACCAGAGCCTGTTA
AGTTACCAGAGCCTGTTAT
GTTACCAGAGCCTGTTATA
TCCCACCATGGGGATTCAA
CCCACCATGGGGATTCAAT
CCACCATGGGGATTCAATC
GAAGCTTCCACAGTTGCAT
AAGCTTCCACAGTTGCATC
ATTCTGAAATGCAACATTA
TTCTGAAATGCAACATTAT
AACATTGCCATTTACCCTG
ACATTGCCATTTACCCTGC
CGAAGAAAAATTAGTTTCC
GAAGAAAAATTAGTTTCCA
GATTCAATCAGCAAAGTCT
ATTCAATCAGCAAAGTCTG
TTCAATCAGCAAAGTCTGA
GCCAGTTATACTTTGAAAA
CCAGTTATACTTTGAAAAA
ACCATGNGGATTCAATCAG
CAAGAATCAACGATAGAAT
AAGAATCAACGATAGAATA
CACAGCCTGTTATATTTTG
ACAGCCTGTTATATTTTGA
CAGCCTGTTATATTTTGAA
GGATTCGATCAGCAAATTC
GATTCGATCAGCAAATTCT
GAGGGCATTAGAATAGAAT
AGGGCATTAGAATAGAATA
GGGCATTAGAATAGAATAA
CGAGGAAAAATTAGTTTCC
GAGGAAAAATTAGTTTCCA
AGGAAAAATTAGTTTCCAG
TGCCATTTACCCTGCTTGG
GCCATTTACCCTGCTTGGC
CCATGGTGATTCAATCAGC
AAATTCTGAAATGCNNNNN
AATTCTGAAATGCNNNNNN
ATTCTGAAATGCNNNNNNN
ATTAGTTTCCACAGCCTGT
TCGAGGAAAAATTAGTTTC
AACACGAGGAAAAATTAGT
ACACGAGGAAAAATTAGTT
CACGAGGAAAAATTAGTTT
TAGGATATACCAAGGACTA
AGGATATACCAAGGACTAA
GGATATACCAAGGACTAAG
GTTTCCAGAGCCAGTTATA
TTTCCAGAGCCAGTTATACTTTCCAGAGCCAGTTATAT
TTCCAGAGCCAGTTATACTTTCCAGAGCCAGTTATATT
TGNGGATTCAATCAGCAAA
GNGGATTCAATCAGCAAAT
TCGGAATCCACTCAGCAAA
CGGAATCCACTCAGCAAAT
GGAATCCACTCAGCAAATT
CTTCACCCCGCTTGGCCTA
TTCACCCCGCTTGGCCTAA
TCACCCCGCTTGGCCTAAA
CTCGAGGAAAAATTAGTTT
CCTTCACCCCGCTTGGCCT
GTCTGAAATGCAACATTAT
NNNNNNANATTNTNANAAA
AAATGCNNNNNNNNNNNNN
AATGCNNNNNNNNNNNNNN
ATGCNNNNNNNNNNNNNNN
ATACCACCATGGTGATTCA
NGGATTCAATCAGCAAATT
CTTCCCCCTGCTTGGCCTA
CATGAAATACCACCATGGT
ATGAAATACCACCATGGTG
TGAAATACCACCATGGTGA
CGAAGAACCATTAGTTACC
ATTCGATCAGCAAATTCTG
TTCGATCAGCAAATTCTGA
AGCCAATCTGAGGAAGAAT
GCCAATCTGAGGAAGAATT
CCAATCTGAGGAAGAATTT
CACCCTGCTTGACTTAAAA
ACCCTGCTTGACTTAAAAG
CCCTGCTTGACTTAAAAGT
AAAGTACAAAAAAACACGA
AAGTACAAAAAAACACGAA
AGTACAAAAAAACACGAAG
CGGATTTGCTGCCTCTGAG
GGATTTGCTGCCTCTGAGG
GATTTGCTGCCTCTGAGGA
CAATCAGCAAAGTCTGAAA
ATGCAACATTATCCTTCAC
TGCAACATTATCCTTCACCTGCAACATTATCCTTCACA
GCAACATTATCCTTCACCCGCAACATTATCCTTCACAC
TCCAGAGCCAGTTATATTT
AAAATCACCCAAAAACCAA
AAATCACCCAAAAACCAAG
AATCACCCAAAAACCAAGA
AAGTACAAAATAACACGAG
AGTACAAAATAACACGAGG
GTACAAAATAACACGAGGA
AGTTTCCAGAGCCAGTTAT
AGGCTCCCACTCTACCTCC
GGCTCCCACTCTACCTCCC
GCTCCCACTCTACCTCCCA
CAAATTCTGAAATGCNNNN
TGTTAAAAATCACCCAAAA
GTTAAAAATCACCCAAAAA
TTAAAAATCACCCAAAAAC
TTCCTTCCCCGGAAGCTTC
TCCTTCCCCGGAAGCTTCC
CCTTCCCCGGAAGCTTCCA
TATACCAAGGACTAAGGAA
ATACCAAGGACTAAGGAAG
TACCAAGGACTAAGGAAGA
ATGAGGGGACGGATTTGCT
TGAGGGGACGGATTTGCTG
TGCNNNNNNNNNNNNNNNN
GCNNNNNNNNNNNNNNNNN
CCTTCACACTGCTTGGCCT
CTTCACACTGCTTGGCCTA
TTCACACTGCTTGGCCTAA
CCACTCTAACTCCCAAGCT
CCTGCTTGGCCTAAAAGTA
CCGGAAGCTTCCACAGTTG
CGGAAGCTTCCACAGTTGC
GGAAGCTTCCACAGTTGCA
CAAGGCTCCCACTCTAACT
AAGGCTCCCACTCTAACTC
AGGCTCCCACTCTAACTCC
CCCAAGCTCTAGGATATAC
AAATTCTGAAATGCATCAT
AATTCTGAAATGCATCATT
GTTTCCACAGCCTGTTATA
TTTCCACAGCCTGTTATAT
AAGATCATGAAATACCACC
AACCATTAGTTACCAGAGC
ACCATTAGTTACCAGAGCC
CCATTAGTTACCAGAGCCT
CAAGGACAAAGGAAGATCA
CTTGACTTAAAAGTACAAA
AGTTCAAAATAACACGAGG
GTTCAAAATAACACGAGGA
TTCAAAATAACACGAGGAA
ATAACACGAGGAAAAATTA
TTCCACAGTTGCATCAGCG
TCCACAGTTGCATCAGCGT
CCACAGTTGCATCAGCGTA
CTCCCACTCTACCTCCCAA
TCCCACTCTACCTCCCAAG
CCCACTCTACCTCCCAAGC
CAAGGACTAAGGAAGATCA
AAGGACTAAGGAAGATCAT
AGGACTAAGGAAGATCATG
TGGTGATTCAATCAGCAAA
GGTGATTCAATCAGCAAAT
GTGATTCAATCAGCAAATT
ACATACCAAGGACAAAGGA
CATACCAAGGACAAAGGAA
AGCCTGTTATATTTTGAAA
AGATGAGGGGACGGATTTG
GATGAGGGGACGGATTTGC
GGAAAAATTAGTTTCCAGA
TATACAGTACATTCCTTCC
ATACAGTACATTCCTTCCC
NNNNNNNNNNNNNNNNANA
CTAACTCCCAAGCTCTAGG
AGCAAATTCTGAAATGCAAAGCAAATTCTGAAATGCAT
AATAACTCCAGGAAAAAGT
ATAACTCCAGGAAAAAGTC
TAACTCCAGGAAAAAGTCA
AGCTAATCAAGGCTCCCAC
GCTAATCAAGGCTCCCACT
CTCTAGGATATACCAAGGA
TCTAGGATATACCAAGGAC
CTAGGATATACCAAGGACTCTAGGATATACCAAGGACA
GGACTAAGGAAGATCATGA
CAAAGGAAGATCATGAAAT
AAAGGAAGATCATGAAATC
AAGGAAGATCATGAAATCC
GAGCCAGTTATACTTTGAA
CAACATTATCCTTCACCCCCAACATTATCCTTCACCCT
AACATTATCCTTCACCCCG
CAGAGCCTGTTATATTTTG
AGAGCCTGTTATATTTTGA
TTGAGATGAGGGGACGGAT
CAGTACATTCCTTCCCCGG
AGTACATTCCTTCCCCGGA
AGCTCTAGGATATACCAAG
GCTCTAGGATATACCAAGG
GCTTGGTCTAAAAGTACAA
CTTGGTCTAAAAGTACAAA
TTGGTCTAAAAGTACAAAA
TTGTTAAAAATCACCCAAA
TAGGATATACCAAGGACAA
AGGATATACCAAGGACAAA
GGATATACCAAGGACAAAG
CCCAAAAACCAAGAATCAA
CCAAAAACCAAGAATCAAC
CAAAAACCAAGAATCAACG
AATACCACCATCGGAATCC
ATACCACCATCGGAATCCA
TACCACCATCGGAATCCAC
TTACCCTGCTTGGCCTAAA
TACCCTGCTTGGCCTAAAA
TTCACCCTGCTTGACTTAA
TCACCCTGCTTGACTTAAA
GACATACCAAGGACAAAGG
ATCCTTCACCCTGCTTGAC
TCCTTCACCCTGCTTGACT
TCCAGAGCCAGTTATACTT
ACCACCATCGGAATCCACT
CACTCAGCAAATTCTGAAA
ACTCAGCAAATTCTGAAAT
TTAGAATAGAATAACTCCA
TAGAATAGAATAACTCCAG
AGAATAGAATAACTCCAGG
TGGTCTAAAAGTACAAAAT
GGAAAAAGTCAGCTGTGTT
GAAAAAGTCAGCTGTGTTG
TGCTTGGCCTAAAAGTACA
GCTTGGCCTAAAAGTACAA
CTTGGCCTAAAAGTACAAA
GGATTCAATCAGCAAATTC
NNNNNNNNNNNNNNNNNAN
CCCCGGAAGCTTCCACAGT
CCCGGAAGCTTCCACAGTT
TATCCTTCACACTGCTTGG
ATCCTTCACACTGCTTGGC
TCCTTCACACTGCTTGGCC
GAAATACCACCATGGGGAT
AAATACCACCATGGGGATT
AGATCATGAAATCCCACCA
GAATAGAATAACTCCAGGA
AATAGAATAACTCCAGGAA
CAATCAGCCAATTCTGAAA
GAAGAATTTGAGATGAGGG
AAGAATTTGAGATGAGGGG
TAACACGAGGAAAAATTAG
CAGCCAATTCTGAAATGCA
AGCCAATTCTGAAATGCAA
GCCAATTCTGAAATGCAAC
AAATGCAACATTGCCATTT
AATGCAACATTGCCATTTA
ATGCAACATTGCCATTTAC
TCACACTGCTTGGCCTAAA
TCTGAGGAAGAATTTGAGA
AAAAACCAAGAATCAACGA
AAAACCAAGAATCAACGAT
AAACCAAGAATCAACGATA
TAGTTTCCAGAGCCTGTTA
AGTCTGAAATGCAACATTA
AACACGAAGAACCATTAGT
ACACGAAGAACCATTAGTT
CACGAAGAACCATTAGTTA
ACAAAATAACACGAGGAAA
CAAAATAACACGAGGAAAA
NNNNNNNNNNNNNTTTCTG
ATTAGAATAGAATAACTCC
CCTTCACCCTGCTTGGCCT
TCTAACTCCCAAGCTCTAG
AAATCTAATCAAGGCTCCC
AATCTAATCAAGGCTCCCA
ATCCACTCAGCAAATTCTG
TCCACTCAGCAAATTCTGA
CCACTCAGCAAATTCTGAA
CAACATTATCCTTCACACT
AACATTATCCTTCACACTG
NNNNNNNNNNNNNNNNNTT
GAAATGCATCATTATCCTT
AAATGCATCATTATCCTTC
NNNNNNTTTCTGAATGTTT
CTTCCCCGGAAGCTTCCAC
TTCCCCGGAAGCTTCCACA
TCCCCGGAAGCTTCCACAG
GGATAGACCAAGGACAAAG
CACCCCGCTTGGCCTAAAA
ACCCCGCTTGGCCTAAAAG
AAGAAAAATTAGTTTCCAG
AGATCATGAAATACCACCA
CATTCCTTCCCCGGAAGCT
ATTCCTTCCCCGGAAGCTT
CAGCAAAGTCTGAAATGCA
AGCAAAGTCTGAAATGCAA
CTTCACCCTGCTTGGCCTA
CACTGCTTGGCCTAAAAGG
ACTGCTTGGCCTAAAAGGA
CTGCTTGGCCTAAAAGGAC
ATCAGCAAATTCTGAAATG
GAATTTGAGATGAGGGGAC
GCTCCCACTCTAACTCCCA
CTCCCACTCTAACTCCCAA
TCCCACTCTAACTCCCAAG
GAGCCTGTTATATTTTGAA
AAAAAGTCAGCTGTGTTGA
AAAAGTCAGCTGTGTTGAT
GATATACCAAGGACTAAGG
ATATACCAAGGACTAAGGA
ATAGAATAACTCCAGGAAA
NNNNNNNNNNNNNNTTTCT
AATCAAGGCTCCCACTCTA
ATCAAGGCTCCCACTCTAA
TCAAGGCTCCCACTCTAAC
CAAATACCACCATCGGAAT
AAATACCACCATCGGAATC
GCCTAAAAGTACAAAATAA
CCTAAAAGTACAAAATAAC
CTAAAAGTACAAAATAACA
ATTTACCCTGCTTGGCCTA
TTTACCCTGCTTGGCCTAA
TTGGCCTAAAAGTACAAAA
TGGCCTAAAAGTACAAAAATGGCCTAAAAGTACAAAAT
ATCATGAAATACCACCATG
TCATGAAATACCACCATGG
ATTTGCTGCCTCTGAGGAG
GATATACCAAGGACAAAGG
CTGCTTGGCCTAAAAGTAC
TACAGTACATTCCTTCCCC
CCTTCACCCTGCTTGACTT
CCATGGGGATTCGATCAGC
CATGGGGATTCGATCAGCA
ATGGGGATTCGATCAGCAA
TCAATCAGCAAAGTCTGAA
CTGAGGAAGAATTTGAGAT
CGCTTGGCCTAAAAGTACA
GCAAATTCTGAAATGCAACGCAAATTCTGAAATGCATC
CTCTGAGGAGGGCATTAGA
TCTGAGGAGGGCATTAGAA
CCACCATGGGGATTCGATC
CACCATGGGGATTCGATCA
ACCATGGGGATTCGATCAG
NNNNNNNNNNNNNNNNTTT
NNNNNNNNNNNNNNNTTTC
TACAAAATAACACGAGGAA
ACGAGGAAAAATTAGTTTC
TGATTCAATCAGCAAATTC
AACCAAGAATCAACGATAG
ACCAAGAATCAACGATAGA
CCAAGAATCAACGATAGAA
AGCTCTAGGACATACCAAG
GAACCATTAGTTACCAGAG
ACGAAGAACCATTAGTTAC
ACAAAAAAACACGAAGAAC
CAAAAAAACACGAAGAACC
TAATCAAGGCTCCCACTCT
AAAATTAGTTTCCAGAGCC
AAATTAGTTTCCAGAGCCAAAATTAGTTTCCAGAGCCT
AATTAGTTTCCAGAGCCTG
CTTCACCCTGCTTGACTTA
NNNNNNNNNNNNANATTNT
NNNNNNNNNNNANATTNTN
CTGAAATGCATCATTATCC
TGAAATGCATCATTATCCT
GGAGATTCAATCAGCAAAT
AGGAAGATCATGAAATCCC
ACAGTACATTCCTTCCCCG
TAAAAATCACCCAAAAACC
AAAAATCACCCAAAAACCA
AGTTATATTGTTAAAAATC
NNNNNNNNNTTTCTGAATG
NNNNNNNNTTTCTGAATGT
NNNNNNNTTTCTGAATGTT
CAAATTCTGAAATGCATCA
AGCCAGTTATACTTTGAAA
TCAAAATAACACGAGGAAA
TTCCCCCTGCTTGGCCTAA
TCCCCCTGCTTGGCCTAAA
GTTATATTGTTAAAAATCA
TTATATTGTTAAAAATCAC
TATATTGTTAAAAATCACC
CCATTTACCCTGCTTGGCC
CATTTACCCTGCTTGGCCT
CATGGTGATTCAATCAGCA
ATGGTGATTCAATCAGCAA
ACCCAAAAACCAAGAATCA
CACCATGGGGATTCAATCA
ACCATGGGGATTCAATCAG
CCATGGGGATTCAATCAGC
AAGTTCAAAATAACACGAG
TGCTTGGCCTAAAAGGACA
CAAGCTCTAGGACATACCA
AAGCTCTAGGACATACCAA
GGCATTAGAATAGAATAAC
GCATTAGAATAGAATAACT
GATCATGAAATACCACCAT
CATGGGGATTCAATCAGCA
CCTCCCACTCTAACTCCCA
CATTATCCTTCACACTGCT
ATTATCCTTCACACTGCTT
TTATCCTTCACACTGCTTG
GGATTCAATCAGCAAAGTC
AAGTCTGAAATGCAACATT
TGAGATGAGGGGACGGATT
GAGATGAGGGGACGGATTT
AACACGAAGAAAAATTAGT
GACAAAGGAAGATCATGAA
ACAAAGGAAGATCATGAAA
ACATTATCCTTCACACTGC
TGAGGAAGAATTTGAGATG
CCCACTCTAACTCCCAAGC
ATAGAATATACAGTACATT
TAGAATATACAGTACATTC
AGAATATACAGTACATTCC
ACCAAGGACTAAGGAAGAT
CCAAGGACTAAGGAAGATC
TACAAAAAAACACGAAGAA
CTGAGGAGGGCATTAGAAT
TGAGGAGGGCATTAGAATA
CATGAAATCCCACCATGGG
AAAAGTTCAAAATAACACG
AAAGTTCAAAATAACACGA
ACCACCATGGGGATTCAAT
GGACATACCAAGGACAAAG
TAAGGAAGATCATGAAATA
TAAAAGTACAAAATAACAC
CCTGCTTGGTCTAAAAGTA
CTGCTTGGTCTAAAAGTAC
TGCTTGGTCTAAAAGTACA
GAAATGCAACATTATCCTT
GCAAAGTCTGAAATGCAAC
CAAAGTCTGAAATGCAACA
AAATGCAACATTATCCTTC
AATGCAACATTATCCTTCA
GAATCCACTCAGCAAATTC
AATCCACTCAGCAAATTCT
AAGGCTCCCACTCTACCTC
ACGGATTTGCTGCCTCTGA
AGAATTTGAGATGAGGGGA
AAAAGTACAAAAAAACACG
CACAGTTGCATCAGCGTAG
TCTGAAATGCNNNNNNNNN
CTGAAATGCNNNNNNNNNN
TGAAATGCNNNNNNNNNNN
GAAATGCNNNNNNNNNNNN
NNNNNNNNNNANATTNTNA
NNNNNNNNNANATTNTNAN
GCTTGGCCTAAAAGGACAA
CTTGGCCTAAAAGGACAAA
ATTAGTTACCAGAGCCTGT
TTAGTTACCAGAGCCTGTT
GGCTCCCACTCTAACTCCC
GACGGATTTGCTGCCTCTG
CACACTGCTTGGCCTAAAA
ACACTGCTTGGCCTAAAAG
CCCAAAGCTAATCAAGGCT
CCAAAGCTAATCAAGGCTC
GAGCCAATCTGAGGAAGAA
CCACTCTACCTCCCAAGCT
CCCTGCTTGGTCTAAAAGT
CATTAGAATAGAATAACTC
ATATACCAAGGACAAAGGA
TTCTGAAATGCNNNNNNNN
TCCAGAGCCTGTTATATTT
ACTCTACCTCCCAAGCTCT
CTCTACCTCCCAAGCTCTA
AAAAGTACAAAATAACACG
AAAGTACAAAATAACACGA
AAGTACAAAATAACACGAA
AAAGTCTGAAATGCAACAT
TAAAAGGACAAAACAACAG
GTACAAAAAAACACGAAGA
ACAGTTGCATCAGCGTAGA
GGCCTAAAAGTACAAAATA
TTGGCCTAAAAGGACAAAA
CACTCTACCTCCCAAGCTC
ACCCTGCTTGGTCTAAAAG
TAAAAGTTCAAAATAACAC
CCTAAAAGTTCAAAATAAC
CTAAAAGTTCAAAATAACA
ACTCGAGGAAAAATTAGTT
NNNNNNNNANATTNTNANA
NNNNNNNANATTNTNANAA
AGCCAGTTATATTGTTAAA
CATTAGTTACCAGAGCCTG
ACATTATCCTTCACCCCGC
ACCCAAAGCTAATCAAGGC
This is 200 bases from…
performing reassembly
CACGGACGGCCCGCCAGTC
ACGGACGGCCCGCCAGTCA
CGGACGGCCCGCCAGTCATGAGTGGGGTCTCCAGTCAT
AGTGGGGTCTCCAGTCATT
GTGGGGTCTCCAGTCATTA
AAATGTGTAATTTCATGAG
AATGTGTAATTTCATGAGT
ATGTGTAATTTCATGAGTG
ACATCAGAAAACTGAGAAT
CATCAGAAAACTGAGAATC
ATCAGAAAACTGAGAATCA
AAAGTCCCTCCCCCTAAGG
AAGTCCCTCCCCCTAAGGC
AGTCCCTCCCCCTAAGGCT
CCCGCTGACAGGCCCCCAG
CCGCTGACAGGCCCCCAGT
CGCTGACAGGCCCCCAGTC
GCCTAGGAGAAAGCAACAT
CCTAGGAGAAAGCAACATG
CTAGGAGAAAGCAACATGA
ATTCAAGCTCCAAGAAACA
TTCAAGCTCCAAGAAACAA
TCAAGCTCCAAGAAACAAA
GCCTAGGAGATAGCAACAT
CCTAGGAGATAGCAACATG
CTAGGAGATAGCAACATGA
GTGGCTATCCCCCTGAGGG
TGGCTATCCCCCTGAGGGG
GGCTATCCCCCTGAGGGGC
AATTGTAAGAACTGCCCTC
ATTGTAAGAACTGCCCTCC
TTGTAAGAACTGCCCTCCC
GTGTATATTGGTGGCTATC
TGTATATTGGTGGCTATCC
GTATATTGGTGGCTATCCC
GTAATTGTAAGAACTGCCC
TAATTGTAAGAACTGCCCT
CCCCGTAAAGCTTTCACAC
CCCGTAAAGCTTTCACACT
CCGTAAAGCTTTCACACTT
ACTCCCGGGCCGCCAGTCA
CTCCCGGGCCGCCAGTCAT
TCCCGGGCCGCCAGTCATT
GCCTCAGTGTATATATGAG
CCTCAGTGTATATATGAGG
CTCAGTGTATATATGAGGC
ACTCATCAGAAAACTGAGA
CTCATCAGAAAACTGAGAA
TCATCAGAAAACTGAGAAT
GTCTTTACTGGTGCTCTTC
TCTTTACTGGTGCTCTTCC
CTTTACTGGTGCTCTTCCC
TCCCCCTGACGGCCCGCCA
CCCCCTGACGGCCCGCCAG
CCCCTGACGGCCCGCCAGT
TTTACTGGTGCTCTTCCCA
TTACTGGTGCTCTTCCCAC
TACTGGTGCTCTTCCCACT
GAAAAATCATCAGAAAACT
AAAAATCATCAGAAAACTAAAAAATCATCAGAAAACTG
AAAATCATCAGAAAACTAAAAAATCATCAGAAAACTGA
AGACAAACCCTTGAAAAAA
GACAAACCCTTGAAAAAAA
ACAAACCCTTGAAAAAAAG
CTACCCCACTCCCGGGCCG
TACCCCACTCCCGGGCCGC
ACCCCACTCCCGGGCCGCC
NNTCAGAAAACTGAGAATC
NTCAGAAAACTGAGAATCA
TCAGAAAACTGAGAATCAA
AGTTATACTTTGAAAAATC
GTTATACTTTGAAAAATCA
TTATACTTTGAAAAATCAT
ACACTTGCCTCAGTGTAAA
CACTTGCCTCAGTGTAAAT
ACTTGCCTCAGTGTAAATA
CCCCCAGTCATAAAATTCA
CCCCAGTCATAAAATTCAA
CCCAGTCATAAAATTCAAG
TATCCCACTGACAGGCCGC
ATCCCACTGACAGGCCGCC
TCCCACTGACAGGCCGCCA
GAAAGTTCCTCCCCCTAAA
AAAGTTCCTCCCCCTAAAG
AAGTTCCTCCCCCTAAAGC
CAGAAAACTAAGAATCAAG
AGAAAACTAAGAATCAAGG
GAAAACTAAGAATCAAGGA
TGACAGGCCCCCAGTCATT
GACAGGCCCCCAGTCATTA
ACAGGCCCCCAGTCATTAA
GGCATTAAATTCAAGCTCC
GCATTAAATTCAAGCTCCA
CATTAAATTCAAGCTCCAA
AGCTTTCACTCTTGCCTCA
GCTTTCACTCTTGCCTCAG
CTTTCACTCTTGCCTCAGT
AAAAGCCAGCCTAGGAGAA
AAAGCCAGCCTAGGAGAAA
AAGCCAGCCTAGGAGAAAG
AAGGGACAAAGCAGTAAAA
AGGGACAAAGCAGTAAAAT
GGGACAAAGCAGTAAAATG
ACTCTTGCCTCAGTGTATA
CTCTTGCCTCAGTGTATAT
TCTTGCCTCAGTGTATATA
CCTCGGAGAAAGCAACATG
CTCGGAGAAAGCAACATGA
TCGGAGAAAGCAACATGAT
GCTTTCACACTTGCCTCAG
CTTTCACACTTGCCTCAGT
TTTCACACTTGCCTCAGTG
CCGGACCCCCAGTCATAAA
CGGACCCCCAGTCATAAAA
GGACCCCCAGTCATAAAAT
TTTGCCCTAAAGATTTCAC
TTGCCCTAAAGATTTCACA
TGCCCTAAAGATTTCACAC
CAAGGGACAAAGCAGTAAA
GCCAGTTATATTTTGAAAA
CCAGTTATATTTTGAAAAA
CAGTTATATTTTGAAAAAT
ATACTTTGAAAAATCATCA
TACTTTGAAAAATCATCAG
ACTTTGAAAAATCATCAGA
AAAATGTGTAATTTCATGA
CCACTCCCGGGCCGCCAGT
CACTCCCGGGCCGCCAGTC
TAGAAAGTTCCTTCCCCTA
AGAAAGTTCCTTCCCCTAA
GAAAGTTCCTTCCCCTAAA
AGGCTATACCACTGACGGG
GGCTATACCACTGACGGGC
GCTATACCACTGACGGGCC
ATGCAAGCTCCAAGAGACA
TGCAAGCTCCAAGAGACAA
GCAAGCTCCAAGAGACAAA
CATTAAATTCAACCACCAA
ATTAAATTCAACCACCAAG
TTAAATTCAACCACCAAGA
ATCAAGGATAGACTTTCTA
TCAAGGATAGACTTTCTAG
CAAGGATAGACTTTCTAGA
TTCAACCCTGGCCTCAGTG
TCAACCCTGGCCTCAGTGT
CAACCCTGGCCTCAGTGTA
TGAAAAATCATCAGAAAAC
CCCACTCCCGGGCCGCCAG
CACACTTGCCTAGGTGAAT
ACACTTGCCTAGGTGAATA
CACTTGCCTAGGTGAATAT
GTATATATGGGGCTATACC
TATATATGGGGCTATACCA
ATATATGGGGCTATACCAC
CCTTTGACAGGCCGCCAGT
CTTTGACAGGCCGCCAGTC
TTTGACAGGCCGCCAGTCA
AGCTTCCACACTTGCCTCA
GCTTCCACACTTGCCTCAG
CTTCCACACTTGCCTCAGT
TCATGAGTGGGGTCTCCAG
CATGAGTGGGGTCTCCAGT
ATGAGTGGGGTCTCCAGTC
CTTTGAAAAATCATCAGAA
CCCCCTAAAGCTTCAACCC
CCCCTAAAGCTTCAACCCT
CCCTAAAGCTTCAACCCTG
CAGGCATTAAATTCAAGCT
AGGCATTAAATTCAAGCTC
AAATGTGATTTGCCCAGGA
AATGTGATTTGCCCAGGAG
ATGTGATTTGCCCAGGAGG
AGGGGCCGCCAGTCATTAA
GGGGCCGCCAGTCATTAAA
GGGCCGCCAGTCATTAAAT
CCACTTCCCTCAGTGTATA
CACTTCCCTCAGTGTATAT
ACTTCCCTCAGTGTATATA
GTGGCTATCCCACTGACGG
TGGCTATCCCACTGACGGG
GGCTATCCCACTGACGGGC
AGCCCCAAGAGACAAACCC
GCCCCAAGAGACAAACCCT
CCCCAAGAGACAAACCCTT
CTAGGAGAAAGAAACATGA
TAGGAGAAAGAAACATGAT
AGGAGAAAGAAACATGATT
TTTTGGAAAAAAAGGCAGC
TTTGGAAAAAAAGGCAGCC
TTGGAAAAAAAGGCAGCCT
TTCCTCCCCCTAAAGCTTT
TCCTCCCCCTAAAGCTTTC
CCTCCCCCTAAAGCTTTCA
AGAAACAAACTCTTGAAAA
GAAACAAACTCTTGAAAAA
AAACAAACTCTTGAAAAAA
ACTGGTGCTCTTCCCACTT
CATTAAATGCAAGCTCCAA
ATTAAATGCAAGCTCCAAG
TTAAATGCAAGCTCCAAGA
CCCAAGAGACAAACCCTTG
GAAAATTTGTGCCTACCCC
AAAATTTGTGCCTACCCCA
AAATTTGTGCCTACCCCAC
AAGAATCAAGGATAGAATT
AGAATCAAGGATAGAATTT
GAATCAAGGATAGAATTTC
ACCACCGACGGCCCGCCAG
CCACCGACGGCCCGCCAGG
CACCGACGGCCCGCCAGGC
CACACTTGCCTCGGTGTAT
ACACTTGCCTCGGTGTATA
CACTTGCCTCGGTGTATAT
GAGGCTATACCACTGACGG
AAAGAGACAAACTCTTGAA
AAGAGACAAACTCTTGAAA
AGAGACAAACTCTTGAAAA
GGCAGCCTAGGAGAAAGCA
GCAGCCTAGGAGAAAGCAA
CAGCCTAGGAGAAAGCAAC
AGTGTATATATGTGGCTAT
GTGTATATATGTGGCTATCGTGTATATATGTGGCTATA
TGTATATATGTGGCTATCCTGTATATATGTGGCTATAC
TCTAGAAAGTACCTTCCCC
CTAGAAAGTACCTTCCCCT
TAGAAAGTACCTTCCCCTA
TATAGGTGGGTATCCCGCT
ATAGGTGGGTATCCCGCTG
TAGGTGGGTATCCCGCTGA
TTTCCCACTTCCCTCAGTG
TTCCCACTTCCCTCAGTGT
TCCCACTTCCCTCAGTGTA
GGATAGAAGTTCTAGAAAG
GATAGAAGTTCTAGAAAGT
ATAGAAGTTCTAGAAAGTT
CAAAGCAGTAAAATGTGTA
AAAGCAGTAAAATGTGTAA
AAGCAGTAAAATGTGTAAT
TAAAATGTGTAATTTCATG
GCCTAGGTGAATATAGGTG
CCTAGGTGAATATAGGTGG
CTAGGTGAATATAGGTGGG
GCCTGTTATATTTTGAAAA
CCTGTTATATTTTGAAAAACCTGTTATATTTTGAAAAC
CTGTTATATTTTGAAAAATCTGTTATATTTTGAAAAAACTGTTATATTTTGAAAACT
TTGACAGGCCGCCAGTCAT
TGACAGGCCGCCAGTCATT
GACAGGCCGCCAGTCATTA
TAGAATTTCTAGAAATTTC
AGAATTTCTAGAAATTTCC
GAATTTCTAGAAATTTCCT
AGGAGAAAGCAGCATGATT
GGAGAAAGCAGCATGATTA
GAGAAAGCAGCATGATTAT
GGCCCGCCAGTCATTAAAT
GCCCGCCAGTCATTAAATT
CCCGCCAGTCATTAAATTC
TGTAAGAACTGCCCTCCCC
ATGTGCCTATACCACGGAC
TGTGCCTATACCACGGACG
GTGCCTATACCACGGACGG
CCACCAAGAGACAAACTCT
CACCAAGAGACAAACTCTT
ACCAAGAGACAAACTCTTG
CAGGCCGCCAGTCATTAAA
AGGCCGCCAGTCATTAAAT
GGCCGCCAGTCATTAAATT
TAAAGATTTCACACTTGTG
AAAGATTTCACACTTGTGT
AAGATTTCACACTTGTGTC
CTTTCCCACTTCCCTCAGT
TTNTNANAAATNNTCAGAA
TNTNANAAATNNTCAGAAA
NTNANAAATNNTCAGAAAA
CCTAAAGATTTCACACTTG
CTAAAGATTTCACACTTGT
AAAGAAACATGATTTTTCA
TAAATTCAACCACCAAGAG
AAATTCAACCACCAAGAGA
TGGCTATTCCTTTGACAGG
GGCTATTCCTTTGACAGGC
GCTATTCCTTTGACAGGCC
CCTTCCCCTAAAGCTTTCA
CTTCCCCTAAAGCTTTCAC
TTCCCCTAAAGCTTTCACTTTCCCCTAAAGCTTTCACA
AAGCTTTCACTCTTGCCTC
TGCTCTTCCCACTTCCGGA
GCTCTTCCCACTTCCGGAC
CTCTTCCCACTTCCGGACC
CCCCTGACAGGCCGCCAGT
CCCTGACAGGCCGCCAGTC
CCTGACAGGCCGCCAGTCA
TATATTTTGAAAAAACATC
ATATTTTGAAAAAACATCA
TATTTTGAAAAAACATCAG
ACTGGCCTCAGTGTATATA
CTGGCCTCAGTGTATATAT
TGGCCTCAGTGTATATATG
ACAGGCCGCCAGTCATTAA
CTAGAAATTTCCTTCCCCT
TAGAAATTTCCTTCCCCTA
AGAAATTTCCTTCCCCTAA
CTTTCACACTGGCCTCAGT
TTTCACACTGGCCTCAGTG
TTCACACTGGCCTCAGTGT
CTCCCCCTAAAGCTTTCAC
CCCACTGACAGGCCGCCAG
CCACTGACAGGCCGCCAGT
GCTGACAGGCCCCCAGTCA
CTGACAGGCCCCCAGTCAT
AACTCATCAGAAAACTGAG
CCCTAAAGATTTCACACTT
TCACACTGGCCTCAGTGTA
NTTTCTGAATGTTTCTTAG
AGAAAGTCCCTCCCCCTAA
GAAAGTCCCTCCCCCTAAG
CAGTCATTAAATTCAAACT
AGTCATTAAATTCAAACTC
GTCATTAAATTCAAACTCC
ATGTGGCTATACCACTTAC
TGTGGCTATACCACTTACG
GTGGCTATACCACTTACGG
GGGCGTCCAGTCATTAAAT
GGCGTCCAGTCATTAAATT
GCGTCCAGTCATTAAATTC
ACGGCCCGCCAGTCATTAA
CGGCCCGCCAGTCATTAAA
CTCCAAGAGACAAACCCTT
TCCAAGAGACAAACCCTTG
CCAAGAGACAAACCCTTGA
CTATTCCTTTGACAGGCCG
CTCCCCGTAAAGCTTTCAC
TCCCCGTAAAGCTTTCACA
CAAGCTCCAAGAGACAAAC
CTCCCCCTAAGGCTTTCAC
TCCCCCTAAGGCTTTCACA
CCCCCTAAGGCTTTCACAC
CTAGAAAGTTCCTTCCCCT
CAATATATGTGACTACACC
AATATATGTGACTACACCA
ATATATGTGACTACACCAC
ATTAAATTCAAGCTCCAAG
TTAAATTCAAGCTCCAAGA
TAAATTCAAGCTCCAAGAGTAAATTCAAGCTCCAAGAATAAATTCAAACTCCAAGAG
AAATTCAAACTCCAAGAGA
AATTCAAACTCCAAGAGAC
GTGGCTATACCACTGACAG
TGGCTATACCACTGACAGG
GGCTATACCACTGACAGGC
TGTGATTTGCCCAGGAGGG
TCTAGAAAGTCCCTCCCCC
CTAGAAAGTCCCTCCCCCT
TAGAAAGTCCCTCCCCCTA
TCAAAGAGACAAACTCTTG
CAAAGAGACAAACTCTTGA
AGGCAGCCTAGGAGAAAGA
GGCAGCCTAGGAGAAAGAA
GCAGCCTAGGAGAAAGAAA
AAGCTCCAAGAGACAAACCAAGCTCCAAGAGACAAACT
AGCTCCAAGAGACAAACCCAGCTCCAAGAGACAAACTC
CATTAAATTCAAACTCCAA
ATTAAATTCAAACTCCAAG
TTAAATTCAAACTCCAAGA
AAACTGAGAATCAAGGATA
AACTGAGAATCAAGGATAG
ACTGAGAATCAAGGATAGA
TTGAAAAAAAGCCAGCCTA
TGAAAAAAAGCCAGCCTAG
GAAAAAAAGCCAGCCTAGG
CTTGCCTCAGTGTATATAT
TTGCCTCAGTGTATATATG
TGCCTCAGTGTATATATGTTGCCTCAGTGTATATATGATGCCTCAGTGTATATATGG
AAAGCAACCGGATTTTTCA
TAGAAAGTTCATTCCCCTA
AGAAAGTTCATTCCCCTAA
GAAAGTTCATTCCCCTAAA
TCAAGGATAGAATTTCTAG
CAAGGATAGAATTTCTAGA
AAGGATAGAATTTCTAGAA
GACAAGTTTTGGAAAAAAA
ACAAGTTTTGGAAAAAAAG
CAAGTTTTGGAAAAAAAGG
AATTTCTAGAAAGTTCCTT
ATTTCTAGAAAGTTCCTTC
TTTCTAGAAAGTTCCTTCC
TTCCCACTTCCGGACCCCC
TCCCACTTCCGGACCCCCA
CCCACTTCCGGACCCCCAG
ACTTGCCTCGGTGTATATA
CTTGCCTCGGTGTATATAT
AGCTTCAACCCTGGCCTCA
GCTTCAACCCTGGCCTCAG
CTTCAACCCTGGCCTCAGT
AACAAATGTGATTTGCCCA
ACAAATGTGATTTGCCCAG
CAAATGTGATTTGCCCAGG
AGACAAGTTTTGGAAAAAA
TTATATATGTGGCTATCCC
TATATATGTGGCTATCCCA
ATATATGTGGCTATCCCAC
TCAAGCTCCAAGAGACAAA
TCCGAGGAGAAAGCAACCG
CCGAGGAGAAAGCAACCGG
CGAGGAGAAAGCAACCGGA
ATGTGGGTATACCACTGAC
TGTGGGTATACCACTGACA
GTGGGTATACCACTGACAG
ATGAGGCTATACCACTGAC
TGAGGCTATACCACTGACG
ACACTTGCCACAGTGAAAA
CACTTGCCACAGTGAAAAT
ACTTGCCACAGTGAAAATT
TCTTGAAAAAAAGGCAGCC
CTTGAAAAAAAGGCAGCCT
TTGAAAAAAAGGCAGCCTATTGAAAAAAAGGCAGCCTC
GGCCTCAGTGTATATATGT
GCCTCAGTGTATATATGTG
CTGAGGGGCCGCCAGTCAT
TGAGGGGCCGCCAGTCATT
GAGGGGCCGCCAGTCATTA
AATTTCCTTCCCCTAAACC
ATTTCCTTCCCCTAAACCT
TTTCCTTCCCCTAAACCTT
CAAGAGACAAACCCTTGAA
TGTATATATGAGGCTATAC
GTATATATGAGGCTATACC
TATATATGAGGCTATACCA
TATTGGTGGCTATCCCCCT
ATTGGTGGCTATCCCCCTG
TTGGTGGCTATCCCCCTGA
TAAAGCTTTCCCACTTCCC
AAAGCTTTCCCACTTCCCT
AAGCTTTCCCACTTCCCTC
CCAAGAAACAAACTCTTGA
CAAGAAACAAACTCTTGAA
AAGAAACAAACTCTTGAAA
TCCCGCTGACAGGCCCCCA
TATGAGGCTATACCACTGA
AGAAAGCAGCATGATTATT
TTCCACACTTGCCTCAGTG
CAAGCTCAAAGAGACAAAC
AAGCTCAAAGAGACAAACT
AGCTCAAAGAGACAAACTC
GTATATATGTGGCTATACC
TATATATGTGGCTATACCA
ATATATGTGGCTATACCAC
TTCTTTGCCCTAAAGATTT
TCTTTGCCCTAAAGATTTC
CTTTGCCCTAAAGATTTCA
AAAGTTCCTTCCCCTAAAG
AAGTTCCTTCCCCTAAAGC
AGTTCCTTCCCCTAAAGCT
ATATGTGCCTATACCACGG
TATGTGCCTATACCACGGA
TNNTCAGAAAACTGAGAAT
TATATATGTGGGTATACCA
ATATATGTGGGTATACCAC
TATATGTGGGTATACCACT
CACTGACGGGCCGCCAGTC
ACTGACGGGCCGCCAGTCAACTGACGGGCCGCCAGTCC
CTGACGGGCCGCCAGTCATCTGACGGGCCGCCAGTCCT
AGTTCCTCCCCCTAAAGCT
GTTCCTCCCCCTAAAGCTT
CCACACTTGCCTCAGTGTA
CACACTTGCCTCAGTGTAA
AGGTGGGTATCCCGCTGAC
CCACTTCCGGACCCCCAGT
CACTTCCGGACCCCCAGTC
CCCTTGCCTCAGTGTATAT
CCTTGCCTCAGTGTATATA
AAAAAAAGGCAGCCTCGGA
AAAAAAGGCAGCCTCGGAG
AAAAAGGCAGCCTCGGAGA
TAAAGCTTTCACTCTTGCC
AAAGCTTTCACTCTTGCCT
CTAAAGCTTCAACCCTGGC
TAAAGCTTCAACCCTGGCC
AAAGCTTCAACCCTGGCCT
GAGAAAGCAACATGATTTT
AGAAAGCAACATGATTTTT
GAAAGCAACATGATTTTTC
GTGGCTATCCCCCTGACGG
TGGCTATCCCCCTGACGGC
GGCTATCCCCCTGACGGCC
GTAAAGCTTTCACACTTGC
TAAAGCTTTCACACTTGCC
AAAGCTTTCACACTTGCCT
TTCTAGAAAGTTCTTTGCC
TCTAGAAAGTTCTTTGCCC
CTAGAAAGTTCTTTGCCCT
ACGGCCCGCCAGGCATTAA
CGGCCCGCCAGGCATTAAA
GGCCCGCCAGGCATTAAAT
CAGTGTATATATGAGGCTA
AGTGTATATATGAGGCTAT
GTGTATATATGAGGCTATA
ATATGTGGGTATACCACTG
TATGTGGGTATACCACTGA
ATTCAACCACCAAGAGACA
TTCAACCACCAAGAGACAA
TCAACCACCAAGAGACAAA
TGAAAAAAAGGCAGCCTCG
GAAAAAAAGGCAGCCTCGG
GCTCCAAGAGACAAACTCT
CTCCAAGAGACAAACTCTT
CCCTAAAGCTTCCACACTT
CCTAAAGCTTCCACACTTG
CTAAAGCTTCCACACTTGC
AGCTTCCACACTTGCCTAG
GCTTCCACACTTGCCTAGG
CTTCCACACTTGCCTAGGT
CACTGGCCTCAGTGTATAT
ATTTCATGAGTGGGGTCTC
TTTCATGAGTGGGGTCTCC
TTCATGAGTGGGGTCTCCA
AGGATAGAATTTCTAGAAA
ACTCAAGGGACAAAGCAGT
CTCAAGGGACAAAGCAGTA
TCAAGGGACAAAGCAGTAA
CCTGAGGGGCCGCCAGTCA
AAAAAAAGCCAGCCTAGGA
GGGGCTATACCACTGACAG
GGGCTATACCACTGACAGG
AAATTTCCTTCCCCTAAAC
GTAAAATGTGTAATTTCAT
AGATTTCACACTTGTGTCA
TCAAGCTCCAAGAGACAAG
CAAGCTCCAAGAGACAAGT
AAGCTCCAAGAGACAAGTT
GCCAGTTATACTTTGAAAA
CCAGTTATACTTTGAAAAA
CAGTTATACTTTGAAAAAT
CCAAGAGACAAGTTTTGGA
CAAGAGACAAGTTTTGGAA
AAGAGACAAGTTTTGGAAA
AAGCTCCAAGAAACAAACT
AGCTCCAAGAAACAAACTC
GCTCCAAGAAACAAACTCT
TAGAATTTCTAGAAAGTCC
AGAATTTCTAGAAAGTCCC
GAATTTCTAGAAAGTCCCT
GTATACCACTGACAGGCCG
TATACCACTGACAGGCCGC
ATACCACTGACAGGCCGCC
ACCACGGACAGGCCGCCAG
CCACGGACAGGCCGCCAGT
CACGGACAGGCCGCCAGTC
AAAATTCAAGCTCCAAGAG
AAATTCAAGCTCCAAGAGA
AATTCAAGCTCCAAGAGAC
GTGTAATTTCATGAGTGGG
TGTAATTTCATGAGTGGGG
GTAATTTCATGAGTGGGGT
AACTGCCCTCCCCCTAAAG
ACTGCCCTCCCCCTAAAGC
CTGCCCTCCCCCTAAAGCT
CCCTTAAAGCTTCCACACT
CCTTAAAGCTTCCACACTT
CTTAAAGCTTCCACACTTG
AGCCTCGGAGAAAGCAACA
GCCTCGGAGAAAGCAACAT
AGAAAGTACCTTCCCCTAA
ACTTCCGGACCCCCAGTCA
CTTCCGGACCCCCAGTCAT
TTCCGGACCCCCAGTCATA
ATAGCAACATGATTTTTCA
GAGACAAACCCTTGAAAAA
TTTGTGCCTACCCCACTCC
TTGTGCCTACCCCACTCCC
TGTGCCTACCCCACTCCCG
AGTTCATTCCCCTAAAGCC
GTTCATTCCCCTAAAGCCT
TTCATTCCCCTAAAGCCTT
AAATCATCAGAAAACTAAG
AATCATCAGAAAACTAAGA
ATCATCAGAAAACTAAGAA
TGGCTATACCACTTACGGG
AATTTGTGCCTACCCCACT
ATTTGTGCCTACCCCACTC
CCGCCAGGCATTAAATTCA
CGCCAGGCATTAAATTCAA
GCCAGGCATTAAATTCAAG
AGCTCCAAGAGACAAGTTT
GCTCCAAGAGACAAGTTTT
CTCCAAGAGACAAGTTTTG
TATTCCTTTGACAGGCCGC
ATTCCTTTGACAGGCCGCC
CAGTGTATATTGGTGGCTA
AGTGTATATTGGTGGCTAT
TACCACTGACAGGCCGCCA
ACCACTGACAGGCCGCCAG
ACGGGCCGCCAGTCATTAA
CGGGCCGCCAGTCATTAAA
GAAAAAAAGGCAGCCTAGG
AAAAAAAGGCAGCCTAGGAAAAAAAAGGCAGCCTAGGC
AAAAAAGGCAGCCTAGGAGAAAAAAGGCAGCCTAGGCG
CAGCCTCGGAGAAAGCAAC
TCAAACTCCAAGAGACAAA
CAAACTCCAAGAGACAAAC
AAACTCCAAGAGACAAACT
CTATCCCCCTGACGGCCCG
TATCCCCCTGACGGCCCGC
ATCCCCCTGACGGCCCGCC
GTGATTTGCCCAGGAGGGG
TGATTTGCCCAGGAGGGGG
GATTTGCCCAGGAGGGGGC
ACCTTTCACACTTGCCTCA
CCTTTCACACTTGCCTCAG
TCAGTGTATATATGAGGCT
CCAAGAGACAAACTCTTGA
AGTTATATTTTGAAAAATC
GTTATATTTTGAAAAATCA
TTATATTTTGAAAAATCAT
AAGCTTCAACCCTGGCCTC
GGACGGCCCGCCAGTCATT
GACGGCCCGCCAGTCATTA
AAGGCAGCCTCGGAGAAAG
AGGCAGCCTCGGAGAAAGC
GGCAGCCTCGGAGAAAGCA
CCACAGTGAAAATTTGTGC
CACAGTGAAAATTTGTGCC
ACAGTGAAAATTTGTGCCT
GAAAGTACCTTCCCCTAAA
AAAGTACCTTCCCCTAAAG
GTTCCTTCCCCTAAAGCTT
TTCCTTCCCCTAAAGCTTT
ACTTGCCTAGGTGAATATA
TCCTTCCCCTAAAGCTTTC
GAAGATAGACTCAAGGGAC
AAGATAGACTCAAGGGACA
AGATAGACTCAAGGGACAA
AATNNTCAGAAAACTGAGA
ATNNTCAGAAAACTGAGAA
TTCACTCTTGCCTCAGTGT
TCACTCTTGCCTCAGTGTA
CACTCTTGCCTCAGTGTAT
AGGTGGCTATTCCTTTGAC
GGTGGCTATTCCTTTGACA
GTGGCTATTCCTTTGACAG
AAGGATAGACTTTCTAGAA
GGTGGGTATCCCGCTGACA
GTGGGTATCCCGCTGACAG
AAGTTTTGGAAAAAAAGGC
AGTTTTGGAAAAAAAGGCA
GTTTTGGAAAAAAAGGCAG
TTGCCTAGGTGAATATAGG
TGCCTAGGTGAATATAGGT
NNNNNNANATTNTNANAAA
NNNNNANATTNTNANAAAT
NNNNANATTNTNANAAATN
TCAGTGTATATATGGGGCT
CAGTGTATATATGGGGCTA
AGTGTATATATGGGGCTAT
AGGATAGACTTTCTAGAAA
GGATAGACTTTCTAGAAAG
TCCCCCTAAAGCTTTCACA
CCCCCTAAAGCTTTCACAC
CCCCTAAAGCTTTCACACT
GCGCGAACCCACGGACAGG
CGCGAACCCACGGACAGGC
GCGAACCCACGGACAGGCC
TGGGTATACCACTGACAGG
GGGTATACCACTGACAGGC
TGCCTATACCACGGACGGC
GCCTATACCACGGACGGCC
CAGAAAACTGAGAATCAAG
GTGCCTACCCCACTCCCGG
ATTCAAACTCCAAGAGACA
TTCAAACTCCAAGAGACAA
TGGAAAAAAAGGCAGCCTA
GGAAAAAAAGGCAGCCTAG
TCATTAAATTCAAGCTCCA
TCCGGACCCCCAGTCATAA
GCTTTCACACTTGCCTCGG
CTTTCACACTTGCCTCGGT
TTTCACACTTGCCTCGGTG
CTTCCCTCAGTGTATATAT
TTCCCTCAGTGTATATATG
TCCCTCAGTGTATATATGT
GTGAAAATTTGTGCCTACC
TGAAAATTTGTGCCTACCC
GGTATACCACTGACAGGCC
AATGCAAGCTCCAAGAGAC
AACCCTGGCCTCAGTGTAT
ACCCTGGCCTCAGTGTATA
CCCTGGCCTCAGTGTATAT
AGTACCTTCCCCTAAAGCT
GTACCTTCCCCTAAAGCTT
TACCTTCCCCTAAAGCTTT
ATACCACGGACGGCCCGCC
TACCACGGACGGCCCGCCA
ACCACGGACGGCCCGCCAG
CAGTGAAAATTTGTGCCTA
AGTGAAAATTTGTGCCTAC
CCCACTGACGGGCCGCCAG
CCACTGACGGGCCGCCAGT
GCCGCCAGTCATTAAATTC
CCGCCAGTCATTAAATTCA
CGCCAGTCATTAAATTCAA
ATTTTGAAAAAACATCAGA
TTTTGAAAAAACATCAGAA
TTTGAAAAAACATCAGAAA
GAAAAAACATCAGAAAACT
AAAAAACATCAGAAAACTG
AAAAACATCAGAAAACTGA
GTCATTAAATTCAACCACC
TCATTAAATTCAACCACCA
GGACAAAGCAGTAAAATGT
CTATACCACTTACGGGCCG
TATACCACTTACGGGCCGC
ATACCACTTACGGGCCGCC
TCATTAAATTCAAACTCCA
AATATAGGTGGGTATCCCG
ATATAGGTGGGTATCCCGC
CCTGGCCTCAGTGTATATA
GAGAAAGCAACCGGATTTT
AGAAAGCAACCGGATTTTT
GAAAGCAACCGGATTTTTC
ATAGATTTTCTAGAAAGTT
TAGATTTTCTAGAAAGTTC
AGATTTTCTAGAAAGTTCC
GATAGACTTTCTAGAAAGT
GTATATATGTGGGTATACC
CCTAAAGCTTCAACCCTGG
CCCCTAAAGCTTTCACAGT
CCCTAAAGCTTTCACAGTT
CCTAAAGCTTTCACAGTTG
TCCAAGAGACAAACTCTTG
TCCCCTAAAGCTTTCACTC
CCCCTAAAGCTTTCACTCT
CCCTAAAGCTTTCACTCTT
AGAATTTCTAGAAAGTTCA
GAATTTCTAGAAAGTTCAT
AATTTCTAGAAAGTTCATTATTTTCTAGAAAGTTCCTT
TTTTCTAGAAAGTTCCTTC
CTAAGAATCAAGGATAGAA
TAAGAATCAAGGATAGAATTAAGAATCAAGGATAGAAG
AAGAATCAAGGATAGAAGT
CTCAGTGTATATTGGTGGC
TCAGTGTATATTGGTGGCT
GCTATCCCCCTGACGGCCC
TAAAGCTTCCACACTTGCC
CTTGAAAAAAAGCCAGCCT
CAGTAAAATGTGTAATTTC
AGTAAAATGTGTAATTTCA
NNNANATTNTNANAAATNN
NNANATTNTNANAAATNNT
NANATTNTNANAAATNNTC
CCTAGGAGAAAGAAACATG
TCTTCCCACTTCCGGACCC
CTTCCCACTTCCGGACCCC
TNANAAATNNTCAGAAAAC
NANAAATNNTCAGAAAACT
ANAAATNNTCAGAAAACTG
GACGGGCCGCCAGTCCTTA
ACGGGCCGCCAGTCCTTAA
CGGGCCGCCAGTCCTTAAA
TGTAAATATGTGGCTATAC
GTAAATATGTGGCTATACC
TAAATATGTGGCTATACCA
CCCTGACGGCCCGCCAGTC
CCTGACGGCCCGCCAGTCA
CTGACGGCCCGCCAGTCAT
CTAAAGCTTTCACAGTTGA
TAAAGCTTTCACAGTTGAC
CTACACCACCGACGGCCCG
TACACCACCGACGGCCCGC
ACACCACCGACGGCCCGCC
TCATTCCCCTAAAGCCTTC
CATTCCCCTAAAGCCTTCA
ATTCCCCTAAAGCCTTCAC
TGTTATATTTTGAAAACTC
GTTATATTTTGAAAACTCA
ATTAAATTCAAGCCCCAAG
TTAAATTCAAGCCCCAAGA
TAAATTCAAGCCCCAAGAG
CCCCTAAAGCTTCCACACT
GGATAGATTTTCTAGAAAG
GATAGATTTTCTAGAAAGT
GCTATACCACTGACAGGCC
ACTCTTGAAAAAAAGGCAG
CTCTTGAAAAAAAGGCAGC
CACACTTGCCTCAGTGTAT
ACACTTGCCTCAGTGTATA
CACTTGCCTCAGTGTATAT
CAGTCTTTACTGGTGCTCT
AGTCTTTACTGGTGCTCTTATGTAACAAATGTGATTTG
TGTAACAAATGTGATTTGC
GTAACAAATGTGATTTGCC
AAAAGGCAGCCTCGGAGAA
AAAGGCAGCCTCGGAGAAA
GATAGAATTTCTAGAAAGT
ATAGAATTTCTAGAAAGTT
TAGAATTTCTAGAAAGTTC
AAGTACCTTCCCCTAAAGC
CAAGAGACAAACTCTTGAA
GCTATCCCCCTGAGGGGCC
CTATCCCCCTGAGGGGCCG
TCCAGTCATTAAATTCAAG
CCAGTCATTAAATTCAAGC
CAGTCATTAAATTCAAGCTCAGTCATTAAATTCAAGCC
CCCACGGACAGGCCGCCAG
AACTCTTGAAAAAAAGGCA
TTCCACACTTGCCTAGGTG
TCCACACTTGCCTAGGTGA
CCCCTAAGGCTTTCACACT
CCCTAAGGCTTTCACACTT
CTTGCCTCAGTGTAAATAT
TTGCCTCAGTGTAAATATG
TGCCTCAGTGTAAATATGT
CTCTTGAAAAAAAGCCAGC
TCTTGAAAAAAAGCCAGCC
AACCACCAAGAGACAAACT
ACCACCAAGAGACAAACTC
CTGAGAATCAAGGATAGAA
TGAGAATCAAGGATAGAAT
TGGCTATCCCCCTGACAGG
GGCTATCCCCCTGACAGGC
GCTATCCCCCTGACAGGCC
AGCTTTCACACTTGCCTCA
TATACTTTGAAAAATCATC
CTTGCCTAGGTGAATATAG
TTGAAAAAACATCAGAAAA
TGAAAAAACATCAGAAAAC
TACCACTTACGGGCCGCCA
GCCCTAAAGATTTCACACT
GCCGCCAGTCATTAAATGC
CCGCCAGTCATTAAATGCA
CGCCAGTCATTAAATGCAA
GAAATTTCCTTCCCCTAAA
TTGCCCAGGAGGGGGCGTC
TGCCCAGGAGGGGGCGTCC
GCCCAGGAGGGGGCGTCCA
AACAAACTCTTGAAAAAAA
ACAAACTCTTGAAAAAAAG
AAATCATCAGAAAACTGAG
TCCCCTAAAGCTTTCACACTCCCCTAAAGCTTTCACAG
CTGGTGCTCTTCCCACTTC
TGGTGCTCTTCCCACTTCC
TCCAAGAAACAAACTCTTG
AAGCTTCCACACTTGCCTA
AAAGCAACATGATTTTTCTAAAGCAACATGATTTTTCA
GATAGACTCAAGGGACAAA
TGTGTAATTTCATGAGTGG
GACGGGCCGCCAGTCATTA
AAGCTTTCACACTTGCCTC
AGCTTTCACACTTGCCTCG
GGGGGCGTCCAGTCATTAA
GGGGCGTCCAGTCATTAAA
GGAGATAGCAACATGATTT
GAGATAGCAACATGATTTT
AGATAGCAACATGATTTTT
TAGGAGAAAGCAGCATGAT
TGCCCTCCCCCTAAAGCTT
GCCCTCCCCCTAAAGCTTC
CCCTCCCCCTAAAGCTTCA
TGGGGTCTCCAGTCATTAA
GGGGTCTCCAGTCATTAAA
GGGTATCCCGCTGACAGGC
GGTATCCCGCTGACAGGCC
GTATCCCGCTGACAGGCCC
AAAGTTCTTTGCCCTAAAG
AAGTTCTTTGCCCTAAAGA
AGTTCTTTGCCCTAAAGAT
GTTCTAGAAAGTTCTTTGC
GCCCGCCAGGCATTAAATT
GCCTCAGTGTATATATGGG
CCTCAGTGTATATATGGGG
CTCAGTGTATATATGGGGC
ACCTTCCCCTAAAGCTTTC
AGCCAGCCTAGGAGAAAGC
GGCCGCCAGTCATTAAATG
CAGCCTAGGAGATAGCAAC
AGCCTAGGAGATAGCAACA
GAGGGGGCGTCCAGTCATT
AGGGGGCGTCCAGTCATTA
ATTTTGAAAACTCATCAGA
TTTTGAAAACTCATCAGAA
TTTGAAAACTCATCAGAAA
ATTTGCCCAGGAGGGGGCG
TTTGCCCAGGAGGGGGCGT
AAATTCAAGCTCCAAGAAA
AATTCAAGCTCCAAGAAAC
GGACAGGCCGCCAGTCATT
AACTCCAAGAGACAAACTC
ACTCCAAGAGACAAACTCT
GCTATCCCACTGACGGGCC
CTATCCCACTGACGGGCCG
TATCCCACTGACGGGCCGC
CAGGCCCCCAGTCATTAAA
CGTAAAGCTTTCACACTTG
TAATTTCATGAGTGGGGTC
AATTTCATGAGTGGGGTCT
GGGCCGCCAGTCCTTAAAT
ATGTGGCTATCCCACTGAC
TGTGGCTATCCCACTGACATGTGGCTATCCCACTGACG
GTGGCTATCCCACTGACAG
GCTATACCACTTACGGGCC
ACAAAGCAGTAAAATGTGT
TATATGTGGCTATACCACT
ATATGTGGCTATACCACTGATATGTGGCTATACCACTT
AAAGTTCATTCCCCTAAAG
ATCCCGCTGACAGGCCCCC
GTTCTTTGCCCTAAAGATT
CAGCCTAGGAGAAAGAAAC
AGAATCAAGGATAGAAGTT
TCCAAGAGACAAGTTTTGG
GTATATATGTGGCTATCCC
TATATATGTGGCTATCCCC
ATATATGTGGCTATCCCCC
TGACGGGCCGCCAGTCATT
CTTGCCACAGTGAAAATTT
TTGCCACAGTGAAAATTTG
TGCCACAGTGAAAATTTGT
CCCTCAGTGTATATATGTG
CCTCAGTGTATATATGTGG
AAAACTAAGAATCAAGGAT
AAACTAAGAATCAAGGATA
AACTAAGAATCAAGGATAG
GATAGCAACATGATTTTTC
GCCTCAGTGTAAATATGTG
CCTCAGTGTAAATATGTGG
CACTGACAGGCCGCCAGTC
ACTGACAGGCCGCCAGTCA
CTGACAGGCCGCCAGTCAT
CCCTGAGGGGCCGCCAGTC
CCTATACCACGGACGGCCC
CTATACCACGGACGGCCCG
ATGTGACTACACCACCGAC
TGTGACTACACCACCGACG
GTGACTACACCACCGACGG
TTCCTTTGACAGGCCGCCA
TCCTTTGACAGGCCGCCAG
AGAGACAAGTTTTGGAAAA
ANATTNTNANAAATNNTCA
AATCAAGGATAGAATTTCT
CCCACTTCCCTCAGTGTAT
TATCCCGCTGACAGGCCCC
TTAACACTTGCCACAGTGA
TAACACTTGCCACAGTGAA
AACACTTGCCACAGTGAAA
CTCCAGTCATTAAATTCAA
TATACCACGGACGGCCCGC
NNNNNNTTTCTGAATGTTT
NNNNNTTTCTGAATGTTTC
NNNNTTTCTGAATGTTTCT
GTCATTAAATTCAAGCTCA
TCATTAAATTCAAGCTCAA
CATTAAATTCAAGCTCAAACATAAAATTCAAGCTCCAA
ATAAAATTCAAGCTCCAAG
TAAAATTCAAGCTCCAAGA
CTATCCCCCTGACAGGCCG
TATCCCCCTGACAGGCCGC
CACTTACGGGCCGCCAGTC
ACTTACGGGCCGCCAGTCA
CTTACGGGCCGCCAGTCAT
TGTTATATTTTGAAAAATC
GAATCAAGGATAGACTTTC
AATCAAGGATAGACTTTCT
AGGAGAAAGCAACATGATT
GGAGAAAGCAACATGATTT
NAAATNNTCAGAAAACTGA
AAATNNTCAGAAAACTGAG
GGCTATACCACTTACGGGC
CATCAGAAAACTAAGAATC
ATCAGAAAACTAAGAATCA
TCAGAAAACTAAGAATCAA
TTCCTTCCCCTAAACCTTT
TCCTTCCCCTAAACCTTTC
CCTTCCCCTAAACCTTTCA
TGGCTATCCCACTGACAGG
AATTTCTAGAAATTTCCTT
ATATATGAGGCTATACCAC
CCCGGGCCGCCAGTCATTA
CCGGGCCGCCAGTCATTAA
GAATATAGGTGGGTATCCC
GCTTTAACACTTGCCACAG
CTTTAACACTTGCCACAGT
TTTAACACTTGCCACAGTG
GAAAACTGAGAATCAAGGA
AAAACTGAGAATCAAGGAT
CAGTCATTAAATTCAACCA
AGTCATTAAATTCAACCAC
CTCCAAGAAACAAACTCTT
AACCTTTCACACTTGCCTC
CGCAGCCTAGGAGATAGCA
GCAGCCTAGGAGATAGCAA
AAAACATCAGAAAACTGAG
AAACATCAGAAAACTGAGA
AACATCAGAAAACTGAGAA
CCAGTCATAAAATTCAAGC
TATATTGGTGGCTATCCCC
ATATTGGTGGCTATCCCCC
TCGGTGTATATATGTGGCT
CGGTGTATATATGTGGCTA
GGTGTATATATGTGGCTAT
TGTTATATTTTGAAAAAAC
AGAAAGTTCCTCCCCCTAA
GCTCAAAGAGACAAACTCT
AGCCTAGGAGAAAGCAACA
GACTACACCACCGACGGCC
ACTACACCACCGACGGCCC
TCCCACTGACGGGCCGCCA
AGTCATAAAATTCAAGCTC
GTCATAAAATTCAAGCTCC
TCATAAAATTCAAGCTCCA
TCCACACTTGCCTCAGTGT
ATTTTGAAAAATCATCAGA
TTTTGAAAAATCATCAGAA
TTTGAAAAATCATCAGAAA
TAGAAGTTCTAGAAAGTTC
AGAAGTTCTAGAAAGTTCT
GAAGTTCTAGAAAGTTCTT
ATGTGGCTATACCACTGAC
TGTGGCTATACCACTGACGTGTGGCTATACCACTGACA
GTGGCTATACCACTGACGG
AGTCATTAAATTCAAGCTC
GTCATTAAATTCAAGCTCC
CTAAAGCTTTCCCACTTCC
ATCCCACTGACGGGCCGCC
CCTCCCCCTAAGGCTTTCA
CGAACCCACGGACAGGCCG
GATTTTCTAGAAAGTTCCT
AGTGTATATATGTGGGTAT
GTGTATATATGTGGGTATA
TGTATATATGTGGGTATAC
AAATATGTGGCTATACCAC
NNNTTTCTGAATGTTTCTT
NNTTTCTGAATGTTTCTTA
TATGTGGCTATACCACTGATATGTGGCTATACCACTTA
CACCACCGACGGCCCGCCA
NATTNTNANAAATNNTCAG
GAGAATCAAGGATAGAATT
GGCTATCCCACTGACAGGC
GCTATCCCACTGACAGGCC
CTATCCCACTGACAGGCCG
TAGAAAGTTCCTCCCCCTA
CCTCCCCCTAAAGCTTCAA
CTCCCCCTAAAGCTTCAAC
TCCCCCTAAAGCTTCAACC
GGTGGCTATCCCCCTGAGG
CCACGGACGGCCCGCCAGT
TAGAAAGTTCTTTGCCCTA
AGAAAGTTCTTTGCCCTAA
GAAAGTTCTTTGCCCTAAA
ATTCAAGCCCCAAGAGACA
TTCAAGCCCCAAGAGACAA
TCAAGCCCCAAGAGACAAA
TCATTAAATTCAAGCCCCA
CATTAAATTCAAGCCCCAA
TATATGAGGCTATACCACT
ACTAAGAATCAAGGATAGA
CTAAGAATCAAGGATAGAC
TAAGAATCAAGGATAGACT
TGGTGGCTATCCCCCTGAG
AGTCATTAAATTCAAGCCC
GTCATTAAATTCAAGCCCC
CCAGGCATTAAATTCAAGC
AAGTTCATTCCCCTAAAGC
CCCTAAAGCTTTCACACTT
CCTAAAGCTTTCACACTTG
CTAAAGCTTTCACACTTGC
GTAAGAACTGCCCTCCCCC
AAACTCTTGAAAAAAAGGC
CCCTAAACCTTTCACACTT
CCTAAACCTTTCACACTTG
CTAAACCTTTCACACTTGC
TATCCCCCTGAGGGGCCGC
ATCCCCCTGAGGGGCCGCC
AAAAGGCAGCCTAGGCGAA
AAAGGCAGCCTAGGCGAAA
AAGGCAGCCTAGGCGAAAG
GCTCCAAGAGACAAACCCT
TTTCACTCTTGCCTCAGTG
TAAACCTTTCACACTTGCC
AAACCTTTCACACTTGCCT
TATATGTGGCTATCCCCCT
ATATGTGGCTATCCCCCTG
TATGTGGCTATCCCCCTGA
TTCCCCTAAACCTTTCACA
TCCCCTAAACCTTTCACAC
CCCCTAAACCTTTCACACT
CCACACTTGCCTAGGTGAA
AGACTCAAGGGACAAAGCA
GACTCAAGGGACAAAGCAG
GAGGAGAAAGCAACCGGAT
AGGAGAAAGCAACCGGATT
TATATTTTGAAAAATCATC
ATATTTTGAAAAATCATCA
TATTTTGAAAAATCATCAG
CCAGTCATTAAATTCAAAC
TTCTAGAAAGTTCCTTCCC
ACCACTGACGGGCCGCCAG
CCTCCCCGTAAAGCTTTCA
GAAAGAAACATGATTTTTC
ATTNTNANAAATNNTCAGA
CCCCCTAAAGCTTTCCCAC
CCCCTAAAGCTTTCCCACT
CCCTAAAGCTTTCCCACTT
AAGAATCAAGGATAGACTT
AGAATCAAGGATAGACTTT
GTCATTAAATGCAAGCTCC
TCATTAAATGCAAGCTCCA
TCAGTGTAAATATGTGGCT
CAGTGTAAATATGTGGCTA
AGTGTAAATATGTGGCTAT
CTATACCACTGACGGGCCG
TATACCACTGACGGGCCGC
GAGACAAGTTTTGGAAAAA
GGTGAATATAGGTGGGTAT
GTGAATATAGGTGGGTATC
TGAATATAGGTGGGTATCC
AACTCTTGAAAAAAAGCCA
ACTCTTGAAAAAAAGCCAG
TGCCTCGGTGTATATATGT
GCCTCGGTGTATATATGTG
CCTCGGTGTATATATGTGG
AATATGTGGCTATACCACT
AAAAAGGCAGCCTAGGAGA
GAATTTCTAGAAAGTTCCT
ACCCACGGACAGGCCGCCA
AATTTCTAGAAAGTCCCTC
ATTTCTAGAAAGTCCCTCC
CAAACTCTTGAAAAAAAGCCAAACTCTTGAAAAAAAGG
AGGCAGCCTAGGAGAAAGC
ATATGTGACTACACCACCG
TATGTGACTACACCACCGA
GTTATATTTTGAAAAAACA
ATTTCTAGAAAGTTCATTC
TTTCTAGAAAGTTCATTCC
TTCACACTTGCCTCGGTGT
AGCCTAGGAGAAAGAAACA
GCCTAGGAGAAAGAAACAT
GTGTAAATATGTGGCTATA
AGGCAGCCTAGGCGAAAGC
GGCAGCCTAGGCGAAAGCA
TCATCAGAAAACTAAGAAT
TAGGAGATAGCAACATGAT
AGGAGATAGCAACATGATT
ATATGGGGCTATACCACTG
TATGGGGCTATACCACTGA
ATGGGGCTATACCACTGAC
GACAAAGCAGTAAAATGTG
CTAGAAAGTTCATTCCCCTCTAGAAAGTTCCTCCCCCT
AGAGACAAACCCTTGAAAA
NNNNNNNTTTCTGAATGTT
GACGGCCCGCCAGGCATTA
GTCCAGTCATTAAATTCAA
AGGAGGGGGCGTCCAGTCA
GGAGGGGGCGTCCAGTCAT
TTATATTTTGAAAAAACAT
GGAGAAAGCAACCGGATTT
TGCCTACCCCACTCCCGGG
GCCTACCCCACTCCCGGGC
TGAAAACTCATCAGAAAAC
GAAAACTCATCAGAAAACT
AAAACTCATCAGAAAACTG
AGTCAATATATGTGACTAC
GTCAATATATGTGACTACA
TCAATATATGTGACTACAC
AAGTTCTAGAAAGTTCTTT
AGTTCTAGAAAGTTCTTTG
TTGCCTCGGTGTATATATG
AAACTCATCAGAAAACTGA
TGAAAAAAAGGCAGCCTAG
TAACAAATGTGATTTGCCC
ATCCCCCTGACAGGCCGCC
AAAGGCAGCCTAGGAGAAA
AAGGCAGCCTAGGAGAAAG
AAATTCAAGCTCAAAGAGA
AATTCAAGCTCAAAGAGAC
ATTCAAGCTCAAAGAGACA
TCCCACCAGTCATTAAATT
CCCACCAGTCATTAAATTC
CCACCAGTCATTAAATTCA
AGAATTTCTAGAAAGTTCC
GGAGAAAGAAACATGATTT
GAGAAAGAAACATGATTTT
TACCACGGACAGGCCGCCA
CAACCACCAAGAGACAAAC
AAAAAAGCCAGCCTAGGAG
AAATTCAAGCCCCAAGAGA
AATTCAAGCCCCAAGAGAC
GTCTCCAGTCATTAAATTC
TCTCCAGTCATTAAATTCA
CCTCAGTCAATATATGTGA
CTCAGTCAATATATGTGAC
TCAGTCAATATATGTGACT
AGAAAACTGAGAATCAAGG
ATTTCTAGAAATTTCCTTC
TTTCTAGAAATTTCCTTCC
TAAATGCAAGCTCCAAGAG
GAAAGCAGCATGATTATTC
TTTCTAGAAAGTCCCTCCC
CCCTCCCCCTAAGGCTTTC
GCTTTCCCACTTCCCTCAG
TGGGTATCCCGCTGACAGG
CACCAGTCATTAAATTCAA
ACCAGTCATTAAATTCAAC
TGACGGGCCGCCAGTCCTT
GTCCCTCCCCCTAAGGCTT
TCCCTCCCCCTAAGGCTTT
TCCCCTAAAGCTTCCACAC
CCTAAAGCTTTCCCACTTC
ATGTGGCTATCCCCCTGAC
TGTGGCTATCCCCCTGACATGTGGCTATCCCCCTGACG
GTGGCTATCCCCCTGACAG
AATTCAACCACCAAGAGAC
AAAGCAGCATGATTATTCA
TAAGAACTGCCCTCCCCCT
AAGAACTGCCCTCCCCCTA
GTGTATATATGGGGCTATA
GCTTTCACAGTTGACTCAG
CTTTCACAGTTGACTCAGT
TTTCACAGTTGACTCAGTG
AGCTTTCCCACTTCCCTCA
CCTAAAGCTTTCACTCTTG
CCCAGTCATTAAATTCAAG
CTAAAGCTTTCACTCTTGC
TAAGGCTTTCACACTTGCC
AAGGCTTTCACACTTGCCT
AGGCTTTCACACTTGCCTC
TTCTAGAAAGTCCCTCCCC
GGCCCCCAGTCATTAAATT
GCCCCCAGTCATTAAATTC
CCCCCAGTCATTAAATTCA
ACCACTTACGGGCCGCCAG
ATCAAGGATAGAATTTCTA
TTCTAGAAATTTCCTTCCC
TCTAGAAATTTCCTTCCCC
GAACTGCCCTCCCCCTAAA
CAGGAGGGGGCGTCCAGTC
CTCAGTGTAAATATGTGGC
GGCTTTCACACTTGCCTCA
GCCACAGTGAAAATTTGTG
AAATATGTGCCTATACCAC
AATATGTGCCTATACCACG
TTCAAGCTCCAAGAGACAA
CTAAGGCTTTCACACTTGC
TCCCCCTGACAGGCCGCCA
CCCCCTGACAGGCCGCCAG
TACCACTGACGGGCCGCCA
AATCATCAGAAAACTGAGA
GAGACAAACTCTTGAAAAA
CGACGGCCCGCCAGGCATT
ATATGAGGCTATACCACTG
CAAGCCCCAAGAGACAAAC
CCCCACTCCCGGGCCGCCA
ATATGTGGCTATCCCACTG
TATGTGGCTATCCCACTGA
AAATGCAAGCTCCAAGAGA
CTCAGTGTATATATGTGGGCTCAGTGTATATATGTGGC
AGGATAGAAGTTCTAGAAA
AAGAGACAAACCCTTGAAA
TTGAAAACTCATCAGAAAA
CAAGCTCCAAGAAACAAAC
TAGGAGAAAGCAACATGAT
TCCCCCTGAGGGGCCGCCA
CGGACAGGCCGCCAGTCAT
AGGCCCCCAGTCATTAAAT
CCTACCCCACTCCCGGGCC
CCAGTCATTAAATTCAACC
ATAGACTCAAGGGACAAAG
TAGACTCAAGGGACAAAGC
CTCGGTGTATATATGTGGC
TCAGTGTATATATGTGGGT
CAGTGTATATATGTGGGTA
TAGGTGGCTATTCCTTTGA
CCCCAGTCATTAAATTCAA
GTTTATATATGTGGCTATC
TTTATATATGTGGCTATCC
AGACAAACTCTTGAAAAAA
GACAAACTCTTGAAAAAAA
CACACTGGCCTCAGTGTAT
ACACTGGCCTCAGTGTATA
GCCAGTCATTAAATTCAAAGCCAGTCATTAAATTCAAG
TTAAAGCTTCCACACTTGC
ATTAAATTCAAGCTCAAAG
AAACTCTTGAAAAAAAGCC
TAGGTGAATATAGGTGGGT
CCGACGGCCCGCCAGGCAT
TGGGGCTATACCACTGACA
GCCAGTCATTAAATGCAAG
CCAGTCATTAAATGCAAGC
CAGTCATTAAATGCAAGCT
TTAAATTCAAGCTCAAAGA
TAAATTCAAGCTCAAAGAG
TTGAAAAATCATCAGAAAA
CGGAGAAAGCAACATGATT
CCCCTAAAGCCTTCACACT
CCCTAAAGCCTTCACACTT
CCTAAAGCCTTCACACTTG
AAAAGGCAGCCTAGGAGAA
AAAGCTTTCACAGTTGACT
AAGCTTTCACAGTTGACTC
AGCTTTCACAGTTGACTCA
TATATGTGGCTATCCCACTTATATGGGGCTATACCACTTATATGTGACTACACCACC
AGTCATTAAATGCAAGCTC
TCACACTTGCCTCGGTGTA
TCAAGCTCAAAGAGACAAA
CCTCAGTGTATATTGGTGG
AAAAAGCCAGCCTAGGAGA
CCACTTACGGGCCGCCAGT
CAGTCAATATATGTGACTA
CCCCCCAGTCATTAAATTC
AACCCACGGACAGGCCGCC
CTTCCCCTAAACCTTTCAC
CCAGTCTTTACTGGTGCTC
TTCACACTTGCCTCAGTGT
TCACACTTGCCTCAGTGTA
GTCCCACCAGTCATTAAAT
ATACCACTGACGGGCCGCC
AAGCCCCAAGAGACAAACC
CCCCCTGAGGGGCCGCCAG
CCCCTGAGGGGCCGCCAGT
GCAGCCTCGGAGAAAGCAA
TGACGGCCCGCCAGTCATT
AGCAGTAAAATGTGTAATT
TCTAGAAAGTTCCTCCCCC
AACCTTTCACACTGGCCTC
ACCTTTCACACTGGCCTCA
CCTTTCACACTGGCCTCAG
CTCAAAGAGACAAACTCTT
GCAGTAAAATGTGTAATTT
TTCCCCTAAAGCCTTCACA
TCCCCTAAAGCCTTCACAC
CCCAGGAGGGGGCGTCCAG
CCAGGAGGGGGCGTCCAGT
GTGCTCTTCCCACTTCCGG
CGTCCCACCAGTCATTAAA
GACCCCCAGTCATAAAATT
AGGTGAATATAGGTGGGTA
TGGCTATACCACTGACGGG
CTATACCACTGACAGGCCG
AGAAAGAAACATGATTTTT
GAATCAAGGATAGAAGTTC
AATCAAGGATAGAAGTTCT
ATTCAAGCTCCAAGAGACA
TTCTAGAAAGTTCATTCCC
TCTAGAAAGTTCATTCCCC
ACTTGCCTCAGTGTATATA
GGGTCTCCAGTCATTAAAT
GGTCTCCAGTCATTAAATT
CGTCCAGTCATTAAATTCA
TTATATTTTGAAAACTCAT
TATATTTTGAAAACTCATC
GATTTCACACTTGTGTCAT
ATTTCACACTTGTGTCATT
GGCGTCCCACCAGTCATTA
GCGTCCCACCAGTCATTAA
AAAGCTTCCACACTTGCCT
AAGCTTCCACACTTGCCTC
AGAACTGCCCTCCCCCTAA
ACCGACGGCCCGCCAGGCA
ATAGAATTTCTAGAAATTT
ATCATCAGAAAACTGAGAA
GAACCCACGGACAGGCCGC
TCCCTTAAAGCTTCCACAC
TATTTTGAAAACTCATCAG
TCAGTGTATATATGTGGCT
CAGTGTATATATGTGGCTA
TTACGGGCCGCCAGTCATT
GGATAGAATTTCTAGAAAT
GATAGAATTTCTAGAAATT
ATCAAGGATAGAAGTTCTA
TCAAGGATAGAAGTTCTAG
CAAGGATAGAAGTTCTAGA
AAAAAGGCAGCCTAGGCGA
TCTAGAAAGTTCCTTCCCC
ATATTTTGAAAACTCATCA
TGAGTGGGGTCTCCAGTCAACGGACAGGCCGCCAGTCA
CCCGCCAGGCATTAAATTC
TGTATATATGGGGCTATAC
ACCCCCAGTCATAAAATTC
TTCAAGCTCAAAGAGACAA
CCCCTTGCCTCAGTGTATA
GGATAGAATTTCTAGAAAG
CATGTAACAAATGTGATTT
GGTGCTCTTCCCACTTCCG
AAGGATAGAAGTTCTAGAA
CAGTCATAAAATTCAAGCT
NNNNNNNANATTNTNANAA
TGACTACACCACCGACGGC
TACGGGCCGCCAGTCATTA
CCCAGTCTTTACTGGTGCT
CCTAAGGCTTTCACACTTG
AGTAATTGTAAGAACTGCC
CCCTCCCCGTAAAGCTTTC
…a “simple” region of a human genome.
is expensive.
TTATGAGGTGACATTTAAA
ATGATTCTTAGGTTTCAAT
TGATTCTTAGGTTTCAATG
GATTCTTAGGTTTCAATGG
TAGCTTCCAATGGGCAATA
AGCTTCCAATGGGCAATAA
GCTTCCAATGGGCAATAAA
TTTCTAAATGTTTCTTAGC
TTCTAAATGTTTCTTAGCT
TCTAAATGTTTCTTAGCTT
TTTTTTCTCATAAAATGGT
TTTTTCTCATAAAATGGTT
TTTTCTCATAAAATGGTTT
ATGAAGCGTAGGCTATGCT
TGAAGCGTAGGCTATGCTG
GAAGCGTAGGCTATGCTGC
CTGAGATGAAGAGAAGGCT
TGAGATGAAGAGAAGGCTT
GAGATGAAGAGAAGGCTTT
GCCATTCTGAGGAAGTTTT
CCATTCTGAGGAAGTTTTT
CATTCTGAGGAAGTTTTTG
ATAAAATGGTCTCTGAATG
TAAAATGGTCTCTGAATGT
AAAATGGTCTCTGAATGTT
GCTTTGCTTTCTATGAGGA
CTTTGCTTTCTATGAGGAG
TTTGCTTTCTATGAGGAGT
TCAATGGGCAATAAAAAAC
CAATGGGCAATAAAAAACT
AATGGGCAATAAAAAACTT
AGTATTTGAGATGAAGAGA
GTATTTGAGATGAAGAGAA
TATTTGAGATGAAGAGAAG
CCAATCTGAGGAAGCATCT
CAATCTGAGGAAGCATCTG
AATCTGAGGAAGCATCTGA
ATTTGAGATGAAGAGAAGG
TAGAAGTGAGCCAATCTGA
AGAAGTGAGCCAATCTGAG
GAAGTGAGCCAATCTGAGG
CTATGCTGCCTTTGATGTG
TATGCTGCCTTTGATGTGT
ATGCTGCCTTTGATGTGTG
AACTTTTAGGGAAATAGAA
ACTTTTAGGGAAATAGAAG
CTTTTAGGGAAATAGAAGT
TTTTTGAGATGAAGCGAAG
TTTTGAGATGAAGCGAAGG
TTTGAGATGAAGCGAAGGC
TGTTTTTCTCATAAAATGG
GTTTTTCTCATAAAATGGT
TTTTTCTCATAAAATGGTC
AGTTTTTCTCATAAAATGG
TCATAAAATGATTTCTGAA
CATAAAATGATTTCTGAAT
ATAAAATGATTTCTGAATG
TTTTTCTCATAAAATGATT
TTTTCTCATAAAATGATTT
TTTCTCATAAAATGATTTC
AGTCTTTGAGATGGAGGGA
GTCTTTGAGATGGAGGGAA
TCTTTGAGATGGAGGGAAA
GTCTATGAGGAGAGCATTA
TCTATGAGGAGAGCATTAG
CTATGAGGAGAGCATTAGA
CCAATCTGTGGAAGCATTT
CAATCTGTGGAAGCATTTG
AATCTGTGGAAGCATTTGA
ATAAAATGGTTTTTGTATG
TAAAATGGTTTTTGTATGT
AAAATGGTTTTTGTATGTT
GTGGGCAATAAATAAATTA
TGGGCAATAAATAAATTAT
TTCTCATAAATTGGTTTCT
TCTCATAAATTGGTTTCTG
CTCATAAATTGGTTTCTGA
AAGCGTAGGCTATGCTGCC
TGATTGCCTTTATGAGGTG
GATTGCCTTTATGAGGTGA
ATTGCCTTTATGAGGTGAC
TGGTTTTTGTATGTTTCTT
GGTTTTTGTATGTTTCTTA
GTTTTTGTATGTTTCTTAG
CTAAATGTTTCTTAGCTTT
GGGAAAGCTTTGCTGTCTA
GGAAAGCTTTGCTGTCTAT
GAGAAGGCTGTGCTGTCTA
AGAAGGCTGTGCTGTCTAT
GAAGGCTGTGCTGTCTATG
TGTATGTTTCTTAGCTTTC
GTATGTTTCTTAGCTTTCA
TATGTTTCTTAGCTTTCAA
TTCTTAGCTTCCAATGGGC
TCTTAGCTTCCAATGGGCA
CTTAGCTTCCAATGGGCAA
AGATGAAGCGAAGGCTTTG
GATGAAGCGAAGGCTTTGC
ATGAAGCGAAGGCTTTGCT
GGAAGCATTTGAGATGAAG
GAAGCATTTGAGATGAAGCGAAGCATTTGAGATGAAGA
AAGCATTTGAGATGAAGCGAAGCATTTGAGATGAAGAG
AATAACTTTTAGGGAAATA
ATAACTTTTAGGGAAATAG
TAACTTTTAGGGAAATAGA
TTTGAGATGAAGAGAAGGGTTTGAGATGAAGAGAAGGC
CTTTGAGATGGAGGGAAAG
TTTGAGATGGAGGGAAAGC
TTGAGATGGAGGGAAAGCT
TTTCAATGGGGAATAAATA
TTCAATGGGGAATAAATAA
TCAATGGGGAATAAATAAC
GAGGAAGTATCTGAGATGA
AGGAAGTATCTGAGATGAA
GGAAGTATCTGAGATGAAG
TGCATTAGAATAGAATCGC
GCATTAGAATAGAATCGCT
CATTAGAATAGAATCGCTC
TTCAATGGGCAATAAATAA
TCAATGGGCAATAAATAAC
CAATGGGCAATAAATAACT
GTGAGCTAATCTGAGTAGG
TGAGCTAATCTGAGTAGGT
GAGCTAATCTGAGTAGGTA
AGATGGAGGGAAAGCTTTG
GATGGAGGGAAAGCTTTGC
ATGGAGGGAAAGCTTTGCT
AGATGAAGAGAAGGCTGTG
GATGAAGAGAAGGCTGTGC
ATGAAGAGAAGGCTGTGCT
AGGGAAAGCTTTGCTGTCT
GCTTTGCTGTCTATGAGGA
CTTTGCTGTCTATGAGGAG
TTTGCTGTCTATGAGGAGATTTGCTGTCTATGAGGAGT
TTGAGATGAAGAGAAGGCT
TGAGATGAAGAGAAGGCTG
GAGATGAAGAGAAGGCTGT
AAGAGAAGGCTTTGCTTTC
AGAGAAGGCTTTGCTTTCT
GAGAAGGCTTTGCTTTCTA
GAAAAGGGCACCTGTGTTG
AAAAGGGCACCTGTGTTGA
AAAGGGCACCTGTGTTGAT
AGCGTAGGCTATGCTGCCT
TTGCTTTCTATGAGGAGTG
TGCTTTCTATGAGGAGTGC
GCTTTCTATGAGGAGTGCA
TGAATGATTCTTAGGTTTC
GAATGATTCTTAGGTTTCA
AATGATTCTTAGGTTTCAA
AAGAGAAGGCTTTGCTGTC
AGAGAAGGCTTTGCTGTCT
GAGAAGGCTTTGCTGTCTA
TTTCTGAATGTTTCTTAGC
TTCTGAATGTTTCTTAGCT
CGCCAATCTGTGGAAGCAT
GCCAATCTGTGGAAGCATT
TATGAGGAGAGCATTAGAA
ATGAGGAGAGCATTAGAAT
TGAGGAGAGCATTAGAATA
GCTGTCTATGAGGAGTGTA
CTGTCTATGAGGAGTGTAT
TGTCTATGAGGAGTGTATT
AATAACTTTTAGGAAAATA
ATAACTTTTAGGAAAATAG
TAACTTTTAGGAAAATAGA
AGGAGAGCATTAGAATAGA
GGAGAGCATTAGAATAGAA
GAGAGCATTAGAATAGAAT
TGGAGGGAAAGCTTTGCTG
GGAGGGAAAGCTTTGCTGT
GAGGGAAAGCTTTGCTGTC
CAATGGGCAATAAATTACT
AATGGGCAATAAATTACTT
ATGGGCAATAAATTACTTT
AGAGCATTAGAATAGAATC
GAGCATTAGAATAGAATCG
AGCATTAGAATAGAATCGC
TTAGCTTTCAATGGGCAAT
TAGCTTTCAATGGGCAATA
AGCTTTCAATGGGCAATAA
GTGCGCCAATCTGTGGAAG
TGCGCCAATCTGTGGAAGC
GCGCCAATCTGTGGAAGCA
GAGGAGAGCATTAGAATAG
TTTTAGGGAAATAGAAGTG
GCAATAAATTACTTTTCGA
CAATAAATTACTTTTCGAG
AATAAATTACTTTTCGAGA
GAGCCAATCTGAGGAAGTC
AGCCAATCTGAGGAAGTCT
GCCAATCTGAGGAAGTCTT
AGATGAAGAGAAGGCTTTG
GATGAAGAGAAGGCTTTGC
ATAGAATCGCTCCAGGAAA
TAGAATCGCTCCAGGAAAA
AGAATCGCTCCAGGAAAAG
GGGCAGTAAATAACTTTTA
GGCAGTAAATAACTTTTAG
GCAGTAAATAACTTTTAGG
AATCTGAGGAAGCATTTGA
ATCTGAGGAAGCATTTGAG
TCTGAGGAAGCATTTGAGA
GGTTTTTCTCATAAAATGG
ATGGGCAATAAATAGCTTT
TGGGCAATAAATAGCTTTT
AAGCATCTGAGATGAAGAG
AGCATCTGAGATGAAGAGA
GCATCTGAGATGAAGAGAA
TTCTTAGCTTTCAATGGGG
TCTTAGCTTTCAATGGGGA
CTTAGCTTTCAATGGGGAA
AGTGCATTAGAATAGAATT
GTGCATTAGAATAGAATTG
TGCATTAGAATAGAATTGC
AAAGGTCACCTGTGTTGAT
AAGGTCACCTGTGTTGATT
AGGTCACCTGTGTTGATTG
ATCGCTCCAGGAAAAGGGC
TCGCTCCAGGAAAAGGGCA
CGCTCCAGGAAAAGGGCAC
TAGATGTGAGCTAATCTGA
AGATGTGAGCTAATCTGAG
GATGTGAGCTAATCTGAGT
CCAGGAAAAGGGCACCTGT
CAGGAAAAGGGCACCTGTG
AGGAAAAGGGCACCTGTGT
TAAATAACTTTTAGGAAAA
AAATAACTTTTAGGAAAAT
TTTTTGTATGTTTCTTAGC
TTTTGTATGTTTCTTAGCT
GGAAAAGGTCACCTGTGTT
GAAAAGGTCACCTGTGTTG
AAAAGGTCACCTGTGTTGA
TCATAAATTGGTTTCTGAA
CATAAATTGGTTTCTGAAT
ATAAATTGGTTTCTGAATG
GTATTAGAATAGAATCGCT
TATTAGAATAGAATCGCTC
ATTAGAATAGAATCGCTCC
GAGATGAAGAGAAGGGTTT
AGATGAAGAGAAGGGTTTG
GATGAAGAGAAGGGTTTGC
ATCTGAGGAAGTATTTGAG
TCTGAGGAAGTATTTGAGA
CTGAGGAAGTATTTGAGAT
GCTGTGCTGTCTATGAGGA
CTGTGCTGTCTATGAGGAG
TGTGCTGTCTATGAGGAGT
AGAATTGCTCCAGGAAAAG
GAATTGCTCCAGGAAAAGG
AATTGCTCCAGGAAAAGGT
AAGTTTTTGAGATGAAGCG
AGTTTTTGAGATGAAGCGA
GTTTTTGAGATGAAGCGAA
AATAGAAGTGAGCCAATCT
ATAGAAGTGAGCCAATCTG
CTCATAAAATGGTTTCTGA
TCATAAAATGGTTTCTGAA
CATAAAATGGTTTCTGAAT
AATAGAATTGCTCCAGGAA
ATAGAATTGCTCCAGGAAA
TAGAATTGCTCCAGGAAAA
CCAATGGGCAATAAATAAC
AATGGGCAATAAATAACTT
TTAGCTTCCAATGGGCAATTTAGCTTTCAATGGGGAAT
TAGCTTTCAATGGGGAATA
TTGCTGTCTATGAGGAGAG
TGCTGTCTATGAGGAGAGC
TTTCTCATAAAATGGTTTCTTTCTCATAAAATGGTTTT
ATTGCTCCAGGAAAAGGTC
TTGCTCCAGGAAAAGGTCA
TGCTCCAGGAAAAGGTCAC
CTGAATGTTTCTTAGCTTT
TGAATGTTTCTTAGCTTTC
GAATGTTTCTTAGCTTTCA
GGTTTTTCTCATAAAATGA
GCTTTCAATGGGCAATAAA
CTTTCAATGGGCAATAAAT
TCTCATAAAATGGTCTCTG
CTCATAAAATGGTCTCTGA
TCATAAAATGGTCTCTGAA
GTTTCTGAATGATTCTTAG
TTTCTGAATGATTCTTAGG
TTCTGAATGATTCTTAGGT
CAGGAAAAGGTAACGTGAG
AGGAAAAGGTAACGTGAGG
GGAAAAGGTAACGTGAGGT
TAAATAACTTTTAGTGAAA
AAATAACTTTTAGTGAAAT
AATAACTTTTAGTGAAATA
CTTCAATGGGCAATAAAAA
TTCAATGGGCAATAAAAAA
TGTTTCTTAGCTTTCAATG
GTTTCTTAGCTTTCAATGG
TTTCTTAGCTTTCAATGGG
GGGCAATAAATTACTTTTC
GGCAATAAATTACTTTTCG
CTTGCAATGGGCAATAAAT
TTGCAATGGGCAATAAATA
TGCAATGGGCAATAAATAA
CAATGGGGAATAAATAACT
AATGGGGAATAAATAACTT
GCGAAGGCTTTGCTGTCTA
CGAAGGCTTTGCTGTCTAT
GAAGGCTTTGCTGTCTATG
TTTAGGGAAATAGATGTGA
TTAGGGAAATAGATGTGAG
TAGGGAAATAGATGTGAGC
GAATGTTTCTTAGCTTCCA
AATGTTTCTTAGCTTCCAA
ATGTTTCTTAGCTTCCAAT
TCTGAATGATTCTTAGGTT
TTCAGTGGGCAATAAATAA
TCAGTGGGCAATAAATAAA
CAGTGGGCAATAAATAAAT
GAAGAGAAGGCTTTGCTTT
GCTGTCTATGAGGAGTGCA
CTGTCTATGAGGAGTGCAT
TGTCTATGAGGAGTGCATT
AACTTTTAGGAAAATAGAT
ACTTTTAGGAAAATAGATG
AAGGCTTTGCTGTCTATGA
TAGCTTTCAATGGGCAGTA
AGCTTTCAATGGGCAGTAA
GCTTTCAATGGGCAGTAAA
AGAGAAGGCTGTGCTGTCT
CCTGTGTTGATTGCCTTTA
CTGTGTTGATTGCCTTTAT
TGTGTTGATTGCCTTTATG
TGAGGAAGTATTTGAGATG
GAGGAAGTATTTGAGATGA
GGAATAAATAACTTTTACG
GAATAAATAACTTTTACGG
AATAAATAACTTTTACGGA
AAACTTTTAGGGAAATAGA
TAGAATAGAATTGCTCCAG
AGAATAGAATTGCTCCAGG
GAATAGAATTGCTCCAGGA
ATGGTTTCTGAATGTTTCT
TGGTTTCTGAATGTTTCTT
GGTTTCTGAATGTTTCTTA
TTTTCTCATAAATTGGTTT
TTTCTCATAAATTGGTTTC
TATGAGGAGTGCATTAGAA
ATGAGGAGTGCATTAGAAT
TGAGGAGTGCATTAGAATA
CTGAGGAAGTATCTGAGAT
TGAGGAAGTATCTGAGATG
TGAGATGGAGGGAAAGCTT
GAGATGGAGGGAAAGCTTT
TTCTCATAAAATGATTTCT
CCAATCTGAGGAAGTCTTT
AGCTAATCTGAGTAGGTAT
CAATCTGAGGAAGTATCTG
AATCTGAGGAAGTATCTGA
ATCTGAGGAAGTATCTGAG
TGTGAGCCATTCTGAGGAA
GTGAGCCATTCTGAGGAAG
TGAGCCATTCTGAGGAAGT
AAAACTTTTAGGGAAATAG
ATGAGGAGTGTATTAGAAT
TGAGGAGTGTATTAGAATA
GAGGAGTGTATTAGAATAG
GGTTTTTCTCATAAATTGG
GTTTTTCTCATAAATTGGT
AAATGTTTCTTAGCTTTCA
AATGTTTCTTAGCTTTCAA
ATGTTTCTTAGCTTTCAAT
TTGAGATGAAGCGTAGGCT
TGAGATGAAGCGTAGGCTA
GAGATGAAGCGTAGGCTAT
TATGAGGAGTGTATTAGAA
TGGGGAATAAATAACTTTT
GGGGAATAAATAACTTTTA
GGGAATAAATAACTTTTAC
GGTTTCTGAATGATTCTTA
CGCTCCAGGAAAAGGTCAC
GCTCCAGGAAAAGGTCACC
CTCCAGGAAAAGGTCACCT
GTCACCTGTGTTGATTGCC
TCACCTGTGTTGATTGCCT
CACCTGTGTTGATTGCCTT
GTGTTGATTGCCTTTATGA
AGAAGGCTTTGCTTTCTAT
GAAGGCTTTGCTTTCTATG
AAGGCTTTGCTTTCTATGA
GAGATGAAGCGAAGGCTTT
TCTGAGGAAGTATCTGAGA
CCAATCTGAGGAAGTATCT
TGAGGAAGCATCTGAGATG
GAGGAAGCATCTGAGATGA
AGGAAGCATCTGAGATGAA
GCTCCAGGAAAAGGGCACC
TCGCTCCAGGAAAAGGTCA
TCCAATGGGCAATAAATAATTCAATGGGCAGTAAATAA
TCAATGGGCAGTAAATAAC
CAATGGGCAGTAAATAACT
ATTCTTAGGTTTCAATGGG
TTCTTAGGTTTCAATGGGC
TCTTAGGTTTCAATGGGCA
CTGTCTATGAGGAGAGCAT
TGTCTATGAGGAGAGCATT
AGCCAATCTGAGGAAGCAT
GCCAATCTGAGGAAGCATCGCCAATCTGAGGAAGCATT
CCAATCTGAGGAAGCATTT
TTTCTATGAGGAGTGCATT
TTCTATGAGGAGTGCATTA
TCTATGAGGAGTGCATTAG
AAGGCTGTGCTGTCTATGA
GGAAGCATCTGAGATGAAG
GAAGCATCTGAGATGAAGA
ATGAAGAGAAGGGTTTGCT
TGAAGAGAAGGGTTTGCTG
AGCTTTCAATGGGGAATAA
GCTTTCAATGGGGAATAAA
CTTTCAATGGGGAATAAAT
GAAATAGATGTGAGCCAAT
AAATAGATGTGAGCCAATC
AATAGATGTGAGCCAATCT
AATGGGCAGTAAATAACTT
TTAGAATAGAATCGCTCCA
CTATGAGGAGTGCATTAGA
TTCTCATAAAATGGTTTTT
TCTCATAAAATGGTTTTTG
CTCATAAAATGGTTTTTGT
CTCCAGGAAAAGGTAACGT
TCCAGGAAAAGGTAACGTG
CCAGGAAAAGGTAACGTGA
TTGATTGCCTTTATGAGGT
GAAGTATCTGAGATGAAGA
AGGAAAAGGTCACCTGTGT
ACCTGTGTTGATTGCCTTT
AGGAGTGTATTAGAATAGA
GGAGTGTATTAGAATAGAA
GAGTGTATTAGAATAGAAT
TAAATGTTTCTTAGCTTTC
TCTTAGCTTCAATGGGCAA
CTTAGCTTCAATGGGCAAT
TTAGCTTCAATGGGCAATA
AAGGGCACCTGTGTTGATT
TCTGTGGAAGCATTTGAGA
CTGTGGAAGCATTTGAGAT
TGTGGAAGCATTTGAGATG
TTGGTTTCTGAATGATTCT
TGGTTTCTGAATGATTCTT
AATGGTTTCTAAATGTTTC
ATGGTTTCTAAATGTTTCT
TGGTTTCTAAATGTTTCTT
TTGAGATGAAGCGAAGGCT
TGAGATGAAGCGAAGGCTT
ATCTGAGGAAGCATCTGAG
TCTGAGGAAGCATCTGAGA
CTCCAGGAAAAGGGCACCT
TAACTTTTACGGAAATAGA
AACTTTTACGGAAATAGAT
ACTTTTACGGAAATAGATG
AGCATTTGAGATGAAGAGA
GCATTTGAGATGAAGAGAA
TAGGTTTCAATGGGCATTA
AGGTTTCAATGGGCATTAA
GGTTTCAATGGGCATTAAA
ATAAATTACTTTTCGAGAT
GGAAAATAGATGTGAGCCA
GAAAATAGATGTGAGCCAA
AAAATAGATGTGAGCCAAT
AGGCTATGCTGCCTTTGAT
GGCTATGCTGCCTTTGATG
GCTATGCTGCCTTTGATGT
AGGCTTTGCTGTCTATGAG
GGCTTTGCTGTCTATGAGG
TTTCGAGATATTGTTGTGC
TTCGAGATATTGTTGTGCG
TCGAGATATTGTTGTGCGC
AGAAGGCTTTGCTGTCTAT
CTGAATGTTTCTTAGCTTC
TGAATGTTTCTTAGCTTCC
GTAGGCTATGCTGCCTTTG
TAGGCTATGCTGCCTTTGA
GCCTTTATGAGGTGACATT
CCTTTATGAGGTGACATTT
CTTTATGAGGTGACATTTA
TTTCAATGGGCAATAAATA
TTTTTCTCATAAATTGGTT
TTAGCTTTCAATGGGCAGT
TCAATGGGCAATAAATAGC
CAATGGGCAATAAATAGCT
AATGGGCAATAAATAGCTT
AAATGGTTTTTGTATGTTT
AATGTTTCTTAGCTTTCAG
AATCGCTCCAGGAAAAGGT
ATCGCTCCAGGAAAAGGTAATCGCTCCAGGAAAAGGTC
TCGCTCCAGGAAAAGGTAATCGCTCCAGGAAAAGGTCC
GAAGTCTTTGAGATGGAGG
AAGTCTTTGAGATGGAGGG
TAAAAAACTTTTAGGGAAA
AAAAAACTTTTAGGGAAAT
AAAAACTTTTAGGGAAATA
GAATCGCTCCAGGAAAAGG
ATTGTTGTGCGCCAATCTG
TTGTTGTGCGCCAATCTGT
TGTTGTGCGCCAATCTGTG
CAGGAAAAGGTCACCTGTG
AGGGCACCTGTGTTGATTG
GGGCACCTGTGTTGATTGC
GGCACCTGTGTTGATTGCC
TGAAGCGAAGGCTTTGCTG
TTTCTTAGCTTCAATGGGC
TTCTTAGCTTCAATGGGCA
CTCATAAAATGGTTTCTAA
TCATAAAATGGTTTCTAAA
CATAAAATGGTTTCTAAAT
TTCTCATAAAATGGTTTCT
TCTCATAAAATGGTTTCTATCTCATAAAATGGTTTCTG
ATGTGAGCTAATCTGAGTA
GTCTATGAGGAGTGCATTA
TCTCATAAAATGATTTCTG
CTCATAAAATGATTTCTGA
CATTTGAGATGAAGAGAAG
GTTGTGCGCCAATCTGTGG
TTGTGCGCCAATCTGTGGA
ATGAAGAGAAGGCTTTGCT
TAAAATGGTTTCTAAATGT
AAAATGGTTTCTAAATGTT
AAATGGTTTCTAAATGTTT
TTCTTAGCTTTCAGTGGGC
TCTTAGCTTTCAGTGGGCA
CTTAGCTTTCAGTGGGCAA
ATAAATAACTTTTACGGAA
TAAATAACTTTTACGGAAA
CTGAGGAAGTCTTTGAGAT
TGAGGAAGTCTTTGAGATG
GAGGAAGTCTTTGAGATGG
CTTTCTATGAGGAGTGCAT
AATCGCTCCAGGAAAAGGG
GTGGAAGCATTTGAGATGA
TGGAAGCATTTGAGATGAA
TTGAGATGAAGAGAAGGGT
TGAGATGAAGAGAAGGGTT
GCATTTGAGATGAAGCGTA
CATTTGAGATGAAGCGTAG
ATTTGAGATGAAGCGTAGG
AGGCTTTGCTTTCTATGAG
GGCTTTGCTTTCTATGAGG
TAAATAACTTTTAGGGAAA
AAATAACTTTTAGGGAAAT
TTTTCTCATAAAATGGTCT
TTTCTCATAAAATGGTCTC
TCAATGGGCAATAAATTAC
TAGGGAAATAGAAGTGAGC
AGGGAAATAGAAGTGAGCC
GGGAAATAGAAGTGAGCCA
CTGAGGAAGCATCTGAGAT
ATAAAATGGTTTCTAAATG
AATAACTTTTACGGAAATA
ATAACTTTTACGGAAATAG
TCTGAGTAGGTATTTGAGA
CTGAGTAGGTATTTGAGAT
TGAGTAGGTATTTGAGATG
TCCAGGAAAAGGTCACCTG
TCATAAAATGGTTTTTGTA
TGCTGCCTTTGATGTGTGC
GCTGCCTTTGATGTGTGCT
TGTTTCTTAGCTTCCAATG
GTTTCTTAGCTTCCAATGG
GCAATGGGCAATAAATAAC
AATTACTTTTCGAGATATT
ATTACTTTTCGAGATATTG
TTACTTTTCGAGATATTGT
ATGGGCAATAAAAAACTTT
TGGGCAATAAAAAACTTTT
CAATCTGAGGAAGCATTTG
CAATAAATAACTTTTAGGA
AATAAATAACTTTTAGGAA
ATAAATAACTTTTAGGAAA
AAATTGGTTTCTGAATGAT
AATTGGTTTCTGAATGATT
ATTGGTTTCTGAATGATTC
TTTATGAGGTGACATTTAA
AGGGAAATAGATGTGAGCCAGGGAAATAGATGTGAGCT
GGGAAATAGATGTGAGCCAGGGAAATAGATGTGAGCTA
GTTTTTCTCATAAAATGAT
CTTCCAATGGGCAATAAAT
TTCCAATGGGCAATAAATA
AGGAGTGCATTAGAATAGA
GGAGTGCATTAGAATAGAA
GAGTGCATTAGAATAGAAT
CCAATCTGAGGAAGTATTT
CAATCTGAGGAAGTATTTG
AATCTGAGGAAGTATTTGA
CAGTAAATAACTTTTAGGG
AGTAAATAACTTTTAGGGA
TTCTGAGGAAGTTTTTGAG
TCTGAGGAAGTTTTTGAGA
CTGAGGAAGTTTTTGAGAT
TTTTAGGGAAATAGATGTG
TTCAATGGGCAATAAATAG
AATAAATAACTTTTAGTGA
ATAAATAACTTTTAGTGAA
TTGCCTTTATGAGGTGACA
TGCCTTTATGAGGTGACAT
GAATAGAATCGCTCCAGGA
AATAGAATCGCTCCAGGAA
AGTGGGCAATAAATAAATT
AATGTTTCTTAGCTTCAAT
ATGTTTCTTAGCTTCAATG
TGTTTCTTAGCTTCAATGG
GTAAATAACTTTTAGGGAA
ATTCTGAGGAAGTTTTTGA
TGGGCAGTAAATAACTTTT
ATGGGCAGTAAATAACTTT
CGCTCCAGGAAAAGGTAAC
GCTCCAGGAAAAGGTAACG
AGGCTGTGCTGTCTATGAG
GGCTGTGCTGTCTATGAGG
AACTTTTAGGGAAATAGAT
ACTTTTAGGGAAATAGATG
CTTTTAGGGAAATAGATGT
GCGTAGGCTATGCTGCCTT
CGTAGGCTATGCTGCCTTT
CCAGGAAAAGGTCACCTGT
CTTAGGTTTCAATGGGCAT
TTAGGTTTCAATGGGCATT
TTCAATGGGCAATAAATTA
TGGGCAATAAATTACTTTT
TGAGCCAATCTGAGGAAGC
GAGCCAATCTGAGGAAGCA
ATGGGGAATAAATAACTTT
TGTGAGCTAATCTGAGTAG
AGGTATTTGAGATGAAGAG
GGTATTTGAGATGAAGAGA
GCTGTCTATGAGGAGAGCA
GCATTAGAATAGAATTGCT
CATTAGAATAGAATTGCTC
ATTAGAATAGAATTGCTCC
AGTGAGCCAATCTGAGGAA
GTGAGCCAATCTGAGGAAG
TGAGCCAATCTGAGGAAGT
TCTATGAGGAGTGTATTAG
CTATGAGGAGTGTATTAGA
TTTGTATGTTTCTTAGCTT
TTGTATGTTTCTTAGCTTT
GGAAATAGAAGTGAGCCAA
GTTTCTGAATGTTTCTTAG
CATCTGAGATGAAGAGAAG
TAAATTACTTTTCGAGATA
AAATTACTTTTCGAGATAT
GGAAAAGGGCACCTGTGTT
AAGTGAGCCAATCTGAGGA
TTCTTAGCTTTCAATGGGC
TCTTAGCTTTCAATGGGCA
CTTAGCTTTCAATGGGCAA
AGCTTTCAGTGGGCAATAA
GCTTTCAGTGGGCAATAAA
CTTTCAGTGGGCAATAAAT
TGTATTAGAATAGAATCGC
AAATAACTTTTACGGAAAT
AGATGAAGCGTAGGCTATG
GATGAAGCGTAGGCTATGC
GAAATAGAAGTGAGCCAAT
AAATAGAAGTGAGCCAATC
TAAATTGGTTTCTGAATGA
GAGTAGGTATTTGAGATGA
AGTAGGTATTTGAGATGAA
TTTCTTAGCTTCCAATGGG
TGAAGAGAAGGCTGTGCTG
TCTGAATGTTTCTTAGCTT
TTAGCTTTCAGTGGGCAAT
TAGCTTTCAGTGGGCAATA
TGTGAGCCAATCTGAGGAA
TGAGGAAGTTTTTGAGATG
GAGGAAGTTTTTGAGATGA
AATGGTTTTTGTATGTTTC
TTTAGGAAAATAGATGTGA
TTAGGAAAATAGATGTGAG
TAGGAAAATAGATGTGAGC
GTTTTTTCTCATAAAATGG
TAGCTTCAATGGGCAATAA
AGCTTCAATGGGCAATAAA
GCTTCAATGGGCAATAAAA
AGGAAGTCTTTGAGATGGA
GGAAGTCTTTGAGATGGAG
GTGTATTAGAATAGAATCG
GAAGTTTTTGAGATGAAGC
GTCTATGAGGAGTGTATTA
AGCATTTGAGATGAAGCGT
TAATCTGAGTAGGTATTTG
AATCTGAGTAGGTATTTGA
ATCTGAGTAGGTATTTGAG
AGATGTGAGCCAATCTGAG
GATGTGAGCCAATCTGAGG
ATGTGAGCCAATCTGAGGA
TGTGCGCCAATCTGTGGAA
ATCTGAGATGAAGAGAAGG
TCTGAGATGAAGAGAAGGC
GAAGAGAAGGGTTTGCTGT
ATGGGCAATAAATAACTTT
GGAAGTATTTGAGATGAAG
GAAGTATTTGAGATGAAGA
AAGTATTTGAGATGAAGAG
GAGCCATTCTGAGGAAGTT
GCTAATCTGAGTAGGTATTGCCAATCTGAGGAAGTATT
TTTCAGTGGGCAATAAATA
AGGAAGTATTTGAGATGAA
TAGGTATTTGAGATGAAGA
GGGCAATAAATAACTTTTA
GGCAATAAATAACTTTTAG
GCAATAAATAACTTTTAGTGCAATAAATAACTTTTAGG
CTTTCAATGGGCAGTAAAT
GGAAATAGATGTGAGCCAA
TTTTAGGAAAATAGATGTG
GTTGATTGCCTTTATGAGG
AAGAGAAGGGTTTGCTGTC
AGAGAAGGGTTTGCTGTCT
CGAGATATTGTTGTGCGCC
GAGATATTGTTGTGCGCCA
AGATATTGTTGTGCGCCAA
GAGGAAGCATTTGAGATGA
AGGAAGCATTTGAGATGAA
TTGCTGTCTATGAGGAGTG
TGCTGTCTATGAGGAGTGCTGCTGTCTATGAGGAGTGT
CAATCTGAGGAAGTCTTTG
AATCTGAGGAAGTCTTTGA
ATCTGAGGAAGTCTTTGAG
TCCAGGAAAAGGGCACCTG
TTTCTTAGCTTTCAGTGGG
ATCTGTGGAAGCATTTGAG
GGAAATAGATGTGAGCTAA
GAAATAGATGTGAGCTAAT
ATAAAATGGTTTCTGAATG
GAAGCGAAGGCTTTGCTGT
TGGGCAATAAATAACTTTT
GTTTCTAAATGTTTCTTAG
AAATGGTTTCTGAATGTTT
AATGGTTTCTGAATGTTTC
AGGAAGTTTTTGAGATGAA
GGAAGTTTTTGAGATGAAG
TTCTCATAAAATGGTCTCT
TTTGAGATGAAGCGTAGGC
AGTGCATTAGAATAGAATC
TTTAGGGAAATAGAAGTGA
TTAGGGAAATAGAAGTGAG
AGTGTATTAGAATAGAATC
GGCAATAAAAAACTTTTAG
GCAATAAAAAACTTTTAGG
CAATAAAAAACTTTTAGGG
ATAGATGTGAGCTAATCTG
CTGAATGATTCTTAGGTTT
GTTTCTTAGCTTTCAGTGG
CATAAAATGGTCTCTGAAT
ATAAAAAACTTTTAGGGAA
TACTTTTCGAGATATTGTT
TGTTGATTGCCTTTATGAG
CATAAAATGGTTTTTGTAT
AAGAGAAGGCTGTGCTGTC
GGGCAATAAAAAACTTTTA
GTTTCTTAGCTTCAATGGG
AATAGATGTGAGCTAATCT
GTAGGTATTTGAGATGAAG
AGGAAAATAGATGTGAGCC
CTGAGGAAGCATTTGAGAT
TGAGGAAGCATTTGAGATG
AGCGAAGGCTTTGCTGTCT
AGCCATTCTGAGGAAGTTT
CTAATCTGAGTAGGTATTT
CTTTTAGGAAAATAGATGT
TTAGAATAGAATTGCTCCA
CAATAAATAACTTTTAGGG
AATAAATAACTTTTAGGGA
ATAAATAACTTTTAGGGAA
GTGCATTAGAATAGAATCG
ATATTGTTGTGCGCCAATC
TATTGTTGTGCGCCAATCT
TCTGAGGAAGTCTTTGAGA
GAAGAGAAGGCTGTGCTGT
AGCCAATCTGAGGAAGTAT
GCCAATCTGAGGAAGTATC
GATATTGTTGTGCGCCAAT
TAAAATGGTTTCTGAATGT
AAAATGGTTTCTGAATGTT
CAATAAATAACTTTTAGTG
GGTTTCTAAATGTTTCTTA
TAGAATAGAATCGCTCCAG
ATGGTTTTTGTATGTTTCT
GAGGAGTGCATTAGAATAG
AATAAAAAACTTTTAGGGA
TTTTCGAGATATTGTTGTG
TGTTTCTTAGCTTTCAGTG
ATGTTTCTTAGCTTTCAGT
GAAGAGAAGGCTTTGCTGT
TTTCAATGGGCAGTAAATA
GGTCACCTGTGTTGATTGC
ATAGATGTGAGCCAATCTG
TAGATGTGAGCCAATCTGA
CTGCCTTTGATGTGTGCTT
GAGCCAATCTGAGGAAGTA
AAGCGAAGGCTTTGCTGTC
AAATAGATGTGAGCTAATC
GCACCTGTGTTGATTGCCT
GTTTCAATGGGCATTAAAT
AGAATAGAATCGCTCCAGG
CTTTTCGAGATATTGTTGT
ACTTTTCGAGATATTGTTG
TGAAGAGAAGGCTTTGCTGTGAAGAGAAGGCTTTGCTT
TGCCTTTGATGTGTGCTTT
TTTCAATGGGCAATAAATT
There are over 3000 20-mers,!
and over 30 valid paths!
Genotyping
• Use sliding “window” traversal of genome to bucket
sites
• Currently use a model based off of the samtools
mpileup genotype likelihood and EM algorithms
• Moving to monoallelic “allele graph” model
A CA C C T C T G T C
A C C C T C T G T C
A CA C C C C T G T C
A CA C C C C T G T C
A C C C T C TT G T C
Allele Graphs
• Edges of graph define conditional probabilities
!
!
• Can efficiently marginalize probabilities over graph via belief
propagation, exactly solve for argmax
ACACTCG
C
A
TCTCA
G
C
TCCACACT
Notes:!
X = copy number of this allele
Y = copy number of preceding allele
k = number of reads observed
j = number of reads supporting Y —> X transition
Pi = probability that read i supports Y —> X transition
Future Work
• When integrating over samples, we should cluster
samples by similarity
• Working on “multi-region” assembly; will integrate
alt references, “similar regions”
• Performance and accuracy evaluation on Illumina
Platinum pedigree, 1000 Genomes
Acknowledgements
• UC Berkeley: Matt Massie, Timothy Danford, André Schumacher,
Jey Kottalam, Karen Feng, Eric Tu, Niranjan Kumar, Ananth
Pallaseni, Anthony Joseph, Dave Patterson!
• Mt. Sinai: Arun Ahuja, Neal Sidhwaney, Ryan Williams, Michael
Linderman, Jeff Hammerbacher!
• GenomeBridge: Carl Yeksigian!
• Cloudera: Uri Laserson!
• Microsoft Research: Ravi Pandya!
• UC Santa Cruz: Benedict Paten, David Haussler!
• And many other open source contributors, especially Michael Heuer,
Neil Ferguson, Andy Petrella, Xavier Tordior!
• Total of 27 contributors to ADAM/BDG from >12 institutions

More Related Content

What's hot

BioBankCloud: Machine Learning on Genomics + GA4GH @ Med at Scale
BioBankCloud: Machine Learning on Genomics + GA4GH  @ Med at ScaleBioBankCloud: Machine Learning on Genomics + GA4GH  @ Med at Scale
BioBankCloud: Machine Learning on Genomics + GA4GH @ Med at ScaleAndy Petrella
 
Lightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaLightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaAndy Petrella
 
Managing Genomes At Scale: What We Learned - StampedeCon 2014
Managing Genomes At Scale: What We Learned - StampedeCon 2014Managing Genomes At Scale: What We Learned - StampedeCon 2014
Managing Genomes At Scale: What We Learned - StampedeCon 2014StampedeCon
 
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Andy Petrella
 
Why is Bioinformatics a Good Fit for Spark?
Why is Bioinformatics a Good Fit for Spark?Why is Bioinformatics a Good Fit for Spark?
Why is Bioinformatics a Good Fit for Spark?Timothy Danford
 
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"..."Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...Dataconomy Media
 
Challenges and Opportunities of Big Data Genomics
Challenges and Opportunities of Big Data GenomicsChallenges and Opportunities of Big Data Genomics
Challenges and Opportunities of Big Data GenomicsYasin Memari
 
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...Amazon Web Services
 
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...Spark Summit
 
From Genomics to Medicine: Advancing Healthcare at Scale
From Genomics to Medicine: Advancing Healthcare at ScaleFrom Genomics to Medicine: Advancing Healthcare at Scale
From Genomics to Medicine: Advancing Healthcare at ScaleDatabricks
 
Big Data Science with H2O in R
Big Data Science with H2O in RBig Data Science with H2O in R
Big Data Science with H2O in RAnqi Fu
 
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...Spark Summit
 
H2O World - Sparkling water on the Spark Notebook: Interactive Genomes Clust...
H2O World -  Sparkling water on the Spark Notebook: Interactive Genomes Clust...H2O World -  Sparkling water on the Spark Notebook: Interactive Genomes Clust...
H2O World - Sparkling water on the Spark Notebook: Interactive Genomes Clust...Sri Ambati
 
2016 bioinformatics i_databases_wim_vancriekinge
2016 bioinformatics i_databases_wim_vancriekinge2016 bioinformatics i_databases_wim_vancriekinge
2016 bioinformatics i_databases_wim_vancriekingeProf. Wim Van Criekinge
 
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...GigaScience, BGI Hong Kong
 
2015 bioinformatics databases_wim_vancriekinge
2015 bioinformatics databases_wim_vancriekinge2015 bioinformatics databases_wim_vancriekinge
2015 bioinformatics databases_wim_vancriekingeProf. Wim Van Criekinge
 

What's hot (20)

BioBankCloud: Machine Learning on Genomics + GA4GH @ Med at Scale
BioBankCloud: Machine Learning on Genomics + GA4GH  @ Med at ScaleBioBankCloud: Machine Learning on Genomics + GA4GH  @ Med at Scale
BioBankCloud: Machine Learning on Genomics + GA4GH @ Med at Scale
 
Lightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and ScalaLightning fast genomics with Spark, Adam and Scala
Lightning fast genomics with Spark, Adam and Scala
 
Managing Genomes At Scale: What We Learned - StampedeCon 2014
Managing Genomes At Scale: What We Learned - StampedeCon 2014Managing Genomes At Scale: What We Learned - StampedeCon 2014
Managing Genomes At Scale: What We Learned - StampedeCon 2014
 
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
Data Enthusiasts London: Scalable and Interoperable data services. Applied to...
 
Why is Bioinformatics a Good Fit for Spark?
Why is Bioinformatics a Good Fit for Spark?Why is Bioinformatics a Good Fit for Spark?
Why is Bioinformatics a Good Fit for Spark?
 
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"..."Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
"Spark, Deep Learning and Life Sciences, Systems Biology in the Big Data Age"...
 
Challenges and Opportunities of Big Data Genomics
Challenges and Opportunities of Big Data GenomicsChallenges and Opportunities of Big Data Genomics
Challenges and Opportunities of Big Data Genomics
 
Spark Summit East 2015
Spark Summit East 2015Spark Summit East 2015
Spark Summit East 2015
 
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...
A Step to the Clouded Solution of Scalable Clinical Genome Sequencing (BDT308...
 
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...
Finding Needles in Genomic Haystacks with “Wide” Random Forest: Spark Summit ...
 
From Genomics to Medicine: Advancing Healthcare at Scale
From Genomics to Medicine: Advancing Healthcare at ScaleFrom Genomics to Medicine: Advancing Healthcare at Scale
From Genomics to Medicine: Advancing Healthcare at Scale
 
2014 sage-talk
2014 sage-talk2014 sage-talk
2014 sage-talk
 
Big Data Science with H2O in R
Big Data Science with H2O in RBig Data Science with H2O in R
Big Data Science with H2O in R
 
Facilitating Scientific Discovery through Crowdsourcing and Distributed Parti...
Facilitating Scientific Discovery through Crowdsourcing and Distributed Parti...Facilitating Scientific Discovery through Crowdsourcing and Distributed Parti...
Facilitating Scientific Discovery through Crowdsourcing and Distributed Parti...
 
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...
Exploring Spark for Scalable Metagenomics Analysis: Spark Summit East talk by...
 
H2O World - Sparkling water on the Spark Notebook: Interactive Genomes Clust...
H2O World -  Sparkling water on the Spark Notebook: Interactive Genomes Clust...H2O World -  Sparkling water on the Spark Notebook: Interactive Genomes Clust...
H2O World - Sparkling water on the Spark Notebook: Interactive Genomes Clust...
 
2016 bioinformatics i_databases_wim_vancriekinge
2016 bioinformatics i_databases_wim_vancriekinge2016 bioinformatics i_databases_wim_vancriekinge
2016 bioinformatics i_databases_wim_vancriekinge
 
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
 
2017 biological databases_part1_vupload
2017 biological databases_part1_vupload2017 biological databases_part1_vupload
2017 biological databases_part1_vupload
 
2015 bioinformatics databases_wim_vancriekinge
2015 bioinformatics databases_wim_vancriekinge2015 bioinformatics databases_wim_vancriekinge
2015 bioinformatics databases_wim_vancriekinge
 

Similar to Fast Variant Calling with ADAM and avocado

Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...
Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...
Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...Spark Summit
 
Rethinking Data-Intensive Science Using Scalable Analytics Systems
Rethinking Data-Intensive Science Using Scalable Analytics Systems Rethinking Data-Intensive Science Using Scalable Analytics Systems
Rethinking Data-Intensive Science Using Scalable Analytics Systems fnothaft
 
Sharing massive data analysis: from provenance to linked experiment reports
Sharing massive data analysis: from provenance to linked experiment reportsSharing massive data analysis: from provenance to linked experiment reports
Sharing massive data analysis: from provenance to linked experiment reportsGaignard Alban
 
Scaling PyData Up and Out
Scaling PyData Up and OutScaling PyData Up and Out
Scaling PyData Up and OutTravis Oliphant
 
Intro to SnappyData Webinar
Intro to SnappyData WebinarIntro to SnappyData Webinar
Intro to SnappyData WebinarSnappyData
 
Introduction to Galaxy and RNA-Seq
Introduction to Galaxy and RNA-SeqIntroduction to Galaxy and RNA-Seq
Introduction to Galaxy and RNA-SeqEnis Afgan
 
Bioinformatics t4-alignments wim_vancriekingev2013
Bioinformatics t4-alignments wim_vancriekingev2013Bioinformatics t4-alignments wim_vancriekingev2013
Bioinformatics t4-alignments wim_vancriekingev2013Prof. Wim Van Criekinge
 
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science Lab
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science LabScalable Ensemble Machine Learning @ Harvard Health Policy Data Science Lab
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science LabSri Ambati
 
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...VMware Tanzu
 
New Developments in H2O: April 2017 Edition
New Developments in H2O: April 2017 EditionNew Developments in H2O: April 2017 Edition
New Developments in H2O: April 2017 EditionSri Ambati
 
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014NoSQLmatters
 
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
Leveraging NLP and Deep Learning for Document Recommendations in the CloudLeveraging NLP and Deep Learning for Document Recommendations in the Cloud
Leveraging NLP and Deep Learning for Document Recommendations in the CloudDatabricks
 
Strata San Jose 2016: Scalable Ensemble Learning with H2O
Strata San Jose 2016: Scalable Ensemble Learning with H2OStrata San Jose 2016: Scalable Ensemble Learning with H2O
Strata San Jose 2016: Scalable Ensemble Learning with H2OSri Ambati
 
Spark Summit EU talk by Josef Habdank
Spark Summit EU talk by Josef HabdankSpark Summit EU talk by Josef Habdank
Spark Summit EU talk by Josef HabdankSpark Summit
 
Use of spark for proteomic scoring seattle presentation
Use of spark for  proteomic scoring   seattle presentationUse of spark for  proteomic scoring   seattle presentation
Use of spark for proteomic scoring seattle presentationlordjoe
 
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習 Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習 Herman Wu
 
Cascalog at Strange Loop
Cascalog at Strange LoopCascalog at Strange Loop
Cascalog at Strange Loopnathanmarz
 
Stacked Ensembles in H2O
Stacked Ensembles in H2OStacked Ensembles in H2O
Stacked Ensembles in H2OSri Ambati
 

Similar to Fast Variant Calling with ADAM and avocado (20)

Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...
Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...
Processing Terabyte-Scale Genomics Datasets with ADAM: Spark Summit East talk...
 
Rethinking Data-Intensive Science Using Scalable Analytics Systems
Rethinking Data-Intensive Science Using Scalable Analytics Systems Rethinking Data-Intensive Science Using Scalable Analytics Systems
Rethinking Data-Intensive Science Using Scalable Analytics Systems
 
Sharing massive data analysis: from provenance to linked experiment reports
Sharing massive data analysis: from provenance to linked experiment reportsSharing massive data analysis: from provenance to linked experiment reports
Sharing massive data analysis: from provenance to linked experiment reports
 
Scaling PyData Up and Out
Scaling PyData Up and OutScaling PyData Up and Out
Scaling PyData Up and Out
 
Bioinformatica t4-alignments
Bioinformatica t4-alignmentsBioinformatica t4-alignments
Bioinformatica t4-alignments
 
Intro to SnappyData Webinar
Intro to SnappyData WebinarIntro to SnappyData Webinar
Intro to SnappyData Webinar
 
Introduction to Galaxy and RNA-Seq
Introduction to Galaxy and RNA-SeqIntroduction to Galaxy and RNA-Seq
Introduction to Galaxy and RNA-Seq
 
Bioinformatics t4-alignments wim_vancriekingev2013
Bioinformatics t4-alignments wim_vancriekingev2013Bioinformatics t4-alignments wim_vancriekingev2013
Bioinformatics t4-alignments wim_vancriekingev2013
 
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science Lab
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science LabScalable Ensemble Machine Learning @ Harvard Health Policy Data Science Lab
Scalable Ensemble Machine Learning @ Harvard Health Policy Data Science Lab
 
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...
Machine Learning, Graph, Text and Geospatial on Postgres and Greenplum - Gree...
 
New Developments in H2O: April 2017 Edition
New Developments in H2O: April 2017 EditionNew Developments in H2O: April 2017 Edition
New Developments in H2O: April 2017 Edition
 
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014
 
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
Leveraging NLP and Deep Learning for Document Recommendations in the CloudLeveraging NLP and Deep Learning for Document Recommendations in the Cloud
Leveraging NLP and Deep Learning for Document Recommendations in the Cloud
 
Strata San Jose 2016: Scalable Ensemble Learning with H2O
Strata San Jose 2016: Scalable Ensemble Learning with H2OStrata San Jose 2016: Scalable Ensemble Learning with H2O
Strata San Jose 2016: Scalable Ensemble Learning with H2O
 
Spark Summit EU talk by Josef Habdank
Spark Summit EU talk by Josef HabdankSpark Summit EU talk by Josef Habdank
Spark Summit EU talk by Josef Habdank
 
The Power of Machine Learning and Graphs
The Power of Machine Learning and GraphsThe Power of Machine Learning and Graphs
The Power of Machine Learning and Graphs
 
Use of spark for proteomic scoring seattle presentation
Use of spark for  proteomic scoring   seattle presentationUse of spark for  proteomic scoring   seattle presentation
Use of spark for proteomic scoring seattle presentation
 
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習 Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習
Azure 機器學習 - 使用Python, R, Spark, CNTK 深度學習
 
Cascalog at Strange Loop
Cascalog at Strange LoopCascalog at Strange Loop
Cascalog at Strange Loop
 
Stacked Ensembles in H2O
Stacked Ensembles in H2OStacked Ensembles in H2O
Stacked Ensembles in H2O
 

More from fnothaft

Scaling Genomic Analyses
Scaling Genomic AnalysesScaling Genomic Analyses
Scaling Genomic Analysesfnothaft
 
Scaling up genomic analysis with ADAM
Scaling up genomic analysis with ADAMScaling up genomic analysis with ADAM
Scaling up genomic analysis with ADAMfnothaft
 
Reproducible Emulation of Analog Behavioral Models
Reproducible Emulation of Analog Behavioral ModelsReproducible Emulation of Analog Behavioral Models
Reproducible Emulation of Analog Behavioral Modelsfnothaft
 
CS176: Genome Assembly
CS176: Genome AssemblyCS176: Genome Assembly
CS176: Genome Assemblyfnothaft
 
Execution Environments
Execution EnvironmentsExecution Environments
Execution Environmentsfnothaft
 
PacMin @ AMPLab All-Hands
PacMin @ AMPLab All-HandsPacMin @ AMPLab All-Hands
PacMin @ AMPLab All-Handsfnothaft
 
Adam bosc-071114
Adam bosc-071114Adam bosc-071114
Adam bosc-071114fnothaft
 

More from fnothaft (7)

Scaling Genomic Analyses
Scaling Genomic AnalysesScaling Genomic Analyses
Scaling Genomic Analyses
 
Scaling up genomic analysis with ADAM
Scaling up genomic analysis with ADAMScaling up genomic analysis with ADAM
Scaling up genomic analysis with ADAM
 
Reproducible Emulation of Analog Behavioral Models
Reproducible Emulation of Analog Behavioral ModelsReproducible Emulation of Analog Behavioral Models
Reproducible Emulation of Analog Behavioral Models
 
CS176: Genome Assembly
CS176: Genome AssemblyCS176: Genome Assembly
CS176: Genome Assembly
 
Execution Environments
Execution EnvironmentsExecution Environments
Execution Environments
 
PacMin @ AMPLab All-Hands
PacMin @ AMPLab All-HandsPacMin @ AMPLab All-Hands
PacMin @ AMPLab All-Hands
 
Adam bosc-071114
Adam bosc-071114Adam bosc-071114
Adam bosc-071114
 

Recently uploaded

Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptx
Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptxVertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptx
Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptxLMW Machine Tool Division
 
How to Write a Good Scientific Paper.pdf
How to Write a Good Scientific Paper.pdfHow to Write a Good Scientific Paper.pdf
How to Write a Good Scientific Paper.pdfRedhwan Qasem Shaddad
 
Modelling Guide for Timber Structures - FPInnovations
Modelling Guide for Timber Structures - FPInnovationsModelling Guide for Timber Structures - FPInnovations
Modelling Guide for Timber Structures - FPInnovationsYusuf Yıldız
 
Transforming Process Safety Management: Challenges, Benefits, and Transition ...
Transforming Process Safety Management: Challenges, Benefits, and Transition ...Transforming Process Safety Management: Challenges, Benefits, and Transition ...
Transforming Process Safety Management: Challenges, Benefits, and Transition ...soginsider
 
ChatGPT-and-Generative-AI-Landscape Working of generative ai search
ChatGPT-and-Generative-AI-Landscape Working of generative ai searchChatGPT-and-Generative-AI-Landscape Working of generative ai search
ChatGPT-and-Generative-AI-Landscape Working of generative ai searchrohitcse52
 
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdf
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdfSummer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdf
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdfNaveenVerma126
 
CSR Managerial Round Questions and answers.pptx
CSR Managerial Round Questions and answers.pptxCSR Managerial Round Questions and answers.pptx
CSR Managerial Round Questions and answers.pptxssusera0771e
 
cloud computing notes for anna university syllabus
cloud computing notes for anna university syllabuscloud computing notes for anna university syllabus
cloud computing notes for anna university syllabusViolet Violet
 
Mohs Scale of Hardness, Hardness Scale.pptx
Mohs Scale of Hardness, Hardness Scale.pptxMohs Scale of Hardness, Hardness Scale.pptx
Mohs Scale of Hardness, Hardness Scale.pptxKISHAN KUMAR
 
Design Analysis of Alogorithm 1 ppt 2024.pptx
Design Analysis of Alogorithm 1 ppt 2024.pptxDesign Analysis of Alogorithm 1 ppt 2024.pptx
Design Analysis of Alogorithm 1 ppt 2024.pptxrajesshs31r
 
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratory
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratoryدليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratory
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide LaboratoryBahzad5
 
Basic Principle of Electrochemical Sensor
Basic Principle of  Electrochemical SensorBasic Principle of  Electrochemical Sensor
Basic Principle of Electrochemical SensorTanvir Moin
 
Engineering Mechanics Chapter 5 Equilibrium of a Rigid Body
Engineering Mechanics  Chapter 5  Equilibrium of a Rigid BodyEngineering Mechanics  Chapter 5  Equilibrium of a Rigid Body
Engineering Mechanics Chapter 5 Equilibrium of a Rigid BodyAhmadHajasad2
 
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docx
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docxSUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docx
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docxNaveenVerma126
 
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...Amil baba
 
Phase noise transfer functions.pptx
Phase noise transfer      functions.pptxPhase noise transfer      functions.pptx
Phase noise transfer functions.pptxSaiGouthamSunkara
 
Graphics Primitives and CG Display Devices
Graphics Primitives and CG Display DevicesGraphics Primitives and CG Display Devices
Graphics Primitives and CG Display DevicesDIPIKA83
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 

Recently uploaded (20)

Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptx
Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptxVertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptx
Vertical- Machining - Center - VMC -LMW-Machine-Tool-Division.pptx
 
How to Write a Good Scientific Paper.pdf
How to Write a Good Scientific Paper.pdfHow to Write a Good Scientific Paper.pdf
How to Write a Good Scientific Paper.pdf
 
Modelling Guide for Timber Structures - FPInnovations
Modelling Guide for Timber Structures - FPInnovationsModelling Guide for Timber Structures - FPInnovations
Modelling Guide for Timber Structures - FPInnovations
 
Transforming Process Safety Management: Challenges, Benefits, and Transition ...
Transforming Process Safety Management: Challenges, Benefits, and Transition ...Transforming Process Safety Management: Challenges, Benefits, and Transition ...
Transforming Process Safety Management: Challenges, Benefits, and Transition ...
 
ChatGPT-and-Generative-AI-Landscape Working of generative ai search
ChatGPT-and-Generative-AI-Landscape Working of generative ai searchChatGPT-and-Generative-AI-Landscape Working of generative ai search
ChatGPT-and-Generative-AI-Landscape Working of generative ai search
 
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdf
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdfSummer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdf
Summer training report on BUILDING CONSTRUCTION for DIPLOMA Students.pdf
 
CSR Managerial Round Questions and answers.pptx
CSR Managerial Round Questions and answers.pptxCSR Managerial Round Questions and answers.pptx
CSR Managerial Round Questions and answers.pptx
 
cloud computing notes for anna university syllabus
cloud computing notes for anna university syllabuscloud computing notes for anna university syllabus
cloud computing notes for anna university syllabus
 
Mohs Scale of Hardness, Hardness Scale.pptx
Mohs Scale of Hardness, Hardness Scale.pptxMohs Scale of Hardness, Hardness Scale.pptx
Mohs Scale of Hardness, Hardness Scale.pptx
 
Litature Review: Research Paper work for Engineering
Litature Review: Research Paper work for EngineeringLitature Review: Research Paper work for Engineering
Litature Review: Research Paper work for Engineering
 
Design Analysis of Alogorithm 1 ppt 2024.pptx
Design Analysis of Alogorithm 1 ppt 2024.pptxDesign Analysis of Alogorithm 1 ppt 2024.pptx
Design Analysis of Alogorithm 1 ppt 2024.pptx
 
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratory
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratoryدليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratory
دليل تجارب الاسفلت المختبرية - Asphalt Experiments Guide Laboratory
 
Basic Principle of Electrochemical Sensor
Basic Principle of  Electrochemical SensorBasic Principle of  Electrochemical Sensor
Basic Principle of Electrochemical Sensor
 
Lecture 2 .pdf
Lecture 2                           .pdfLecture 2                           .pdf
Lecture 2 .pdf
 
Engineering Mechanics Chapter 5 Equilibrium of a Rigid Body
Engineering Mechanics  Chapter 5  Equilibrium of a Rigid BodyEngineering Mechanics  Chapter 5  Equilibrium of a Rigid Body
Engineering Mechanics Chapter 5 Equilibrium of a Rigid Body
 
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docx
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docxSUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docx
SUMMER TRAINING REPORT ON BUILDING CONSTRUCTION.docx
 
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...
Popular-NO1 Kala Jadu Expert Specialist In Germany Kala Jadu Expert Specialis...
 
Phase noise transfer functions.pptx
Phase noise transfer      functions.pptxPhase noise transfer      functions.pptx
Phase noise transfer functions.pptx
 
Graphics Primitives and CG Display Devices
Graphics Primitives and CG Display DevicesGraphics Primitives and CG Display Devices
Graphics Primitives and CG Display Devices
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 

Fast Variant Calling with ADAM and avocado