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Bioinformatics|Software|Services

NOVOALIGN BASESPACE APP
Zayed Albertyn
Bioinformatics Director, Novocraft technologies Sdn Bhd
Illumina® BaseSpace Developer Conference, San Francisco
9th December 2013
Bioinformatics|Software|Services

Novocraft Technologies Sdn Bhd
• Incorporated in 2008, BioNexus
Status Company
• Small team of
Mathematicians, Biologists &
Software Engineeers
• Develop Innovation & World
Class Products
• High-Performance Computing
in growing Genomics Era
• International Market & User
Base
Bioinformatics|Software|Services

Products
•
•
•
•

Novoalign– Illumina, 454
NovoalignCS – SOLiD
Novosort
Cluster Solutions
– NovoalignMPI, NovoalignCSMPI

• NGS WorkBench (web)
• All running on standard commodity hardware
– No special GPU/supercomputer required
– Mac OS & Linux versions available
– Open source operating system (Linux)

• NGS Cloud computing HPC workflows
– Amazon EC2/S3/EBS
Bioinformatics|Software|Services

NGS Services
Automated pipelines

Consultation on NextGen
projects
•
•
•

Illumina and other
platforms

In-house/custom
and open source
software

•
•
•
•
•

Exome
Whole genome
SNV, Indel, Structural
Variations (SVs)
RNASeq
CHIP-Seq
Methylome
Small RNA
de-novo assembly

Cloud Solutions
-packaged AMIs,containers
Bioinformatics|Software|Services

Collaborations
• Academic/research institutes
• Industry
– HPC providers
– Pharma
– Cloud solutions

• Resellers
– US and Global
Bioinformatics|Software|Services

A few of our NOVOALIGN users
Bioinformatics|Software|Services

User Examples
Bioinformatics|Software|Services

NOVOALIGN
• Hash-based aligner
• Peer reviewed publications: 2009-present
• Accuracy
– SNPs and short Indels

• Read length > 250 bp as of V3.X.X
Bioinformatics|Software|Services

ROC Curves

• True Positive vs False positive rate
• Higher Y value - better at finding the
“true” result
• Lower X value – better at excluding “false”
results

http://lh3lh3.users.sourceforge.net/alnROC.shtml
Bioinformatics|Software|Services

The performance of various methods for mapping reads to reference repeats.

Highnam G et al. Nucl. Acids Res. 2013;41:e32
Bioinformatics|Software|Services

The performance of various methods for mapping reads to reference repeats.

Highnam G et al. Nucl. Acids Res. 2013;41:e32
Bioinformatics|Software|Services

Genome-in-a-bottle Consortium dataset

http://www.bioplanet.com/gcat
http://www.bioplanet.com/gcat/reports/112/variant-calls/ion-torrent-225bp-se-exome-30x/novoalign-gatk-ug/compare-183-119/group-read-depth
Bioinformatics|Software|Services

“Our standard workflow uses novoalign based on its stringency
in resolving large insertions and deletions. These results suggest
equally good results using bwa mem, along with improved processing
times”

Courtesy Brad Chapman & Oliver Hoffman. HSPH
http://bcbio.wordpress.com
Bioinformatics|Software|Services

Graphical representation of the total number of
downstream false positives expressed as a percentage...

Oliver GR. 2012 [http://f1000r.es/NMpsFc] F1000Research 2012, 1:2 (doi:
10.12688/f1000research.1-2.v2)
Bioinformatics|Software|Services

Novosort comparison on Illumina reads
Bioinformatics|Software|Services

Developing on BaseSpace
Bioinformatics|Software|Services

Motivation
• Reach out to more users
• Enable seamless integration with the cloud
• Establish BaseSpace Novoalign community
Bioinformatics|Software|Services

What is the App?
Alignment

• Alignment
Quality
Calibration
• Multithreaded
• Adaptor
stripping

Sorting

• Novosort
• Multithreaded

Variant
Calling
• Freebayes
• SNPs & Indels
Bioinformatics|Software|Services

What is the App?
• Novoalign
– Paired-end
– Human-genome only, others later
– Caveat: require min. 8Gb RAM machine

• Alignment coordinate-sorting
– Novosort

• Variant Calling
– Freebayes (Erik Garrison & Gabor Marth )
Bioinformatics|Software|Services

What is the App?
• Novoalign
– Paired-end
– Human-genome only, others later
– Caveat: require min. 8Gb RAM machine

• Alignment coordinate-sorting
– Novosort

• Variant Calling
– Freebayes (Erik Garrison & Gabor Marth )
Bioinformatics|Software|Services

What is the App?
• Novoalign
– Paired-end
– Human-genome only, others later
– Caveat: require min. 8Gb RAM machine

• Alignment coordinate-sorting
– Novosort

• Variant Calling
– Freebayes (Erik Garrison & Gabor Marth )
Bioinformatics|Software|Services

New-developer Challenges
• The “Docker” way of doing things
– Image vs Container

• Front-end : Javascript/CSS
• Basck-end: Algorithms/scripting
Bioinformatics|Software|Services

Perl/C++/R/Python

Frontend
process
Back-end
process
Bioinformatics|Software|Services

Back-end Development Process
Start the Native VM
•Vmware
•Linux environment

Start your own Docker
Repository
•Create new IMAGE on Docker.io
•Done automatically on your first
push

Attach to your image

Make small test dataset

•Docker run …

•Illumina cancer panel read
•Subset chr22 alignmnents

Develop the app back-end
process

Postprocess

•Automated script runs pipeline
•Alignment->sorting->variant
calling

•Charting with R
•ggplot2
Bioinformatics|Software|Services

Front-end Development Process
BaseSpace
Developer tools
• Code editor
• Preview form inputs

Build Report form
• Write Liquid/Js/HTML5

Initiate test runs
• Send data to your
backend Native app
Bioinformatics|Software|Services

App Screenshots
Bioinformatics|Software|Services
Bioinformatics|Software|Services
Bioinformatics|Software|Services
Bioinformatics|Software|Services
Bioinformatics|Software|Services

Acknowledgements

Novocraft
Leadership
Colin Hercus
Haniza Hashim
Bioinformatics
Akzam Saidin
Kaamesh Kaamahalaran
Abdul Malik Ahmad
Software Development
Deepa Murugan
Sharon Chin
Laura Hamit

Illumina
Raymond Teckotzky
Mayank Tyagi
VT/GeneByGene
David Mittelman
Gareth Highnam
Nir Liebovich
Jason Wang
HSPH Bioinformatics Core
Oliver Hoffman
Brad Chapman

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Talk at BaseSpace Developer conference SF 2013

Editor's Notes

  1. Figure 2. Graphical representation of the total number of downstream false positives expressed as a percentage of the true positive mutations detected following alignment with each aligner in single and paired-end mode across 67 groups of simulated Illumina reads.Each read group contained 20 SNPs and 13 INDELs. How to cite: Oliver GR. 2012 Considerations for clinical read alignment and mutational profiling using next-generation sequencing [v2; ref status: indexed, http://f1000r.es/NMpsFc] F1000Research 2012, 1:2 (doi: 10.12688/f1000research.1-2.v2)