SlideShare a Scribd company logo
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Updated 21 July 2011 http://dl.dropbox.com/u/18352887/BITS_training_material/Link%20to%20mod5-intro_H1_2011_genomebrowsers.pdf
Integrating biological information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Reference genome sequences provide a standard genome sequence per species  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://www.ncbi.nlm.nih.gov/Genomes/
 
Finding your way in genomes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Genome Browsers: main players ,[object Object],[object Object],[object Object],[object Object],BITS UCSC Genome Browser training BITS Ensembl Genome Browser training
Ensembl Genome browser ,[object Object],[object Object],[object Object]
28 November 2009 [email_address] /10 http://www.ensembl.org Information about the genomes
http://www.ensemblgenomes.org
[email_address] /10 ! …  or click on the figure feature!
28 November 2009 [email_address] /10
28 November 2009 [email_address] /10 [email_address]
TAB SUMMARY DETAILED INFORMATION INFOR-MATION SELEC-TOR DATA MANAGER tab DAS
Ensembl Genome browser ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.ensembl.org/info/index.html http://www.ensembl.org/Help/Movie?id=188
Ensembl Genome browser ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.ensembl.org/info/index.html http://www.ensembl.org/Help/Movie?id=188
Tracks are a way to display information on a genome sequence ,[object Object],[object Object],Genome reference tracks Screenshot of Ensembl genome browser
Tracks are a way to display information on a genome sequence ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.ensembl.org/info/website/upload/bed.html http://www.bits.vib.be/wiki/index.php/.vcf #CHROM POS  ID  REF  ALT  QUAL FILTER INFO  FORMAT  20  14370  rs6054257 G  A  29  PASS  NS=3;DP=14;AF=0.5;DB;H2  GT:GQ:DP:HQ 20  17330  .  T  A  3  q10  NS=3;DP=11;AF=0.017  GT:GQ:DP:HQ
Biomart, your one stop portal to fetch information ,[object Object],[object Object],Hey, can you tell me how many genes in mouse  exist which regulate transcription and are located on  Chromosome 19 ?
Biomart, your one stop portal to fetch information ,[object Object],[object Object],Hey, can you tell me  how many   genes  in  mouse   exist which  regulate transcription  and are located on  Chromosome 19  ? Ensembl  Genes Genome sequence (Ensembl) Gene Ontology GO:0009299
Biomart, your one stop portal to fetch information ,[object Object],Translated questions reflect in database choice and  Filters Resulting genes are counted and the output set via  Attributes
Biomart is available for an increasing number of databases ,[object Object],[object Object]
Gene lists resulting from different analyses can reveal their biology  ,[object Object]
Gene lists resulting from different analyses can reveal their biology  ,[object Object],DEMO Alternatives g:Profiler http://biit.cs.ut.ee/gprofiler/ Babelomics http://www.babelomics.org/
Galaxy allows you to store your data and to (re)analyse it conveniently ,[object Object]
Galaxy allows you to store your data and to (re)analyse it conveniently ,[object Object],DEMO TOOLS RESULTS DATA SETS

More Related Content

What's hot

BITS: UCSC genome browser - Part 1
BITS: UCSC genome browser - Part 1BITS: UCSC genome browser - Part 1
BITS: UCSC genome browser - Part 1
BITS
 
Bioinformatics data mining
Bioinformatics data miningBioinformatics data mining
Bioinformatics data mining
Sangeeta Das
 
The ensembl database
The ensembl databaseThe ensembl database
The ensembl database
Ashfaq Ahmad
 
Genomic databases
Genomic databasesGenomic databases
PHYLOGENETICS WITH MEGA
PHYLOGENETICS WITH MEGAPHYLOGENETICS WITH MEGA
PHYLOGENETICS WITH MEGA
UNIVERSITI MALAYSIA SABAH
 
Introduction to databases.pptx
Introduction to databases.pptxIntroduction to databases.pptx
Introduction to databases.pptx
sworna kumari chithiraivelu
 
Data retreival system
Data retreival systemData retreival system
Data retreival system
Shikha Thakur
 
Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformatics
VinaKhan1
 
Tools and database of NCBI
Tools and database of NCBITools and database of NCBI
Tools and database of NCBI
Santosh Kumar Sahoo
 
Genome Assembly
Genome AssemblyGenome Assembly
Genome Assembly
Aureliano Bombarely
 
Swiss prot
Swiss protSwiss prot
Swiss prot
Shikha Thakur
 
NGS data formats and analyses
NGS data formats and analysesNGS data formats and analyses
NGS data formats and analyses
rjorton
 
Introduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbjIntroduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbj
KAUSHAL SAHU
 
UniProt
UniProtUniProt
UniProt
AmnaA7
 
EMBL- European Molecular Biology Laboratory
EMBL- European Molecular Biology LaboratoryEMBL- European Molecular Biology Laboratory
European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)
Hafiz Muhammad Zeeshan Raza
 
Sequence Submission Tools
Sequence Submission ToolsSequence Submission Tools
Sequence Submission Tools
RishikaMaji
 
Bioinformatics.Assignment
Bioinformatics.AssignmentBioinformatics.Assignment
Bioinformatics.AssignmentNaima Tahsin
 

What's hot (20)

BITS: UCSC genome browser - Part 1
BITS: UCSC genome browser - Part 1BITS: UCSC genome browser - Part 1
BITS: UCSC genome browser - Part 1
 
Bioinformatics data mining
Bioinformatics data miningBioinformatics data mining
Bioinformatics data mining
 
The ensembl database
The ensembl databaseThe ensembl database
The ensembl database
 
Genomic databases
Genomic databasesGenomic databases
Genomic databases
 
PHYLOGENETICS WITH MEGA
PHYLOGENETICS WITH MEGAPHYLOGENETICS WITH MEGA
PHYLOGENETICS WITH MEGA
 
NCBI
NCBINCBI
NCBI
 
Introduction to databases.pptx
Introduction to databases.pptxIntroduction to databases.pptx
Introduction to databases.pptx
 
Data retreival system
Data retreival systemData retreival system
Data retreival system
 
Database in bioinformatics
Database in bioinformaticsDatabase in bioinformatics
Database in bioinformatics
 
Proteome databases
Proteome databasesProteome databases
Proteome databases
 
Tools and database of NCBI
Tools and database of NCBITools and database of NCBI
Tools and database of NCBI
 
Genome Assembly
Genome AssemblyGenome Assembly
Genome Assembly
 
Swiss prot
Swiss protSwiss prot
Swiss prot
 
NGS data formats and analyses
NGS data formats and analysesNGS data formats and analyses
NGS data formats and analyses
 
Introduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbjIntroduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbj
 
UniProt
UniProtUniProt
UniProt
 
EMBL- European Molecular Biology Laboratory
EMBL- European Molecular Biology LaboratoryEMBL- European Molecular Biology Laboratory
EMBL- European Molecular Biology Laboratory
 
European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)
 
Sequence Submission Tools
Sequence Submission ToolsSequence Submission Tools
Sequence Submission Tools
 
Bioinformatics.Assignment
Bioinformatics.AssignmentBioinformatics.Assignment
Bioinformatics.Assignment
 

Viewers also liked

BITS: Basics of sequence databases
BITS: Basics of sequence databasesBITS: Basics of sequence databases
BITS: Basics of sequence databases
BITS
 
BITS: Basics of sequence analysis
BITS: Basics of sequence analysisBITS: Basics of sequence analysis
BITS: Basics of sequence analysis
BITS
 
BITS: Overview of important biological databases beyond sequences
BITS: Overview of important biological databases beyond sequencesBITS: Overview of important biological databases beyond sequences
BITS: Overview of important biological databases beyond sequences
BITS
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
JTADrexel
 
L01 ecture 01-
L01 ecture 01-L01 ecture 01-
L01 ecture 01-MUBOSScz
 
GenomeBrowser
GenomeBrowserGenomeBrowser
GenomeBrowser
Hong ChangBum
 
Bioinformatics in dermato-oncology
Bioinformatics in dermato-oncologyBioinformatics in dermato-oncology
Bioinformatics in dermato-oncology
Joaquin Dopazo
 
B.sc biochem i bobi u 3.2 algorithm + blast
B.sc biochem i bobi u 3.2 algorithm + blastB.sc biochem i bobi u 3.2 algorithm + blast
B.sc biochem i bobi u 3.2 algorithm + blast
Rai University
 
How to evaluate the usefulness of digital libraries
How to evaluate the usefulness of digital librariesHow to evaluate the usefulness of digital libraries
How to evaluate the usefulness of digital librariesJasmin Hügi
 
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)Hussain Majid
 
An introduction to geographic information systems (gis) m goulbourne 2007
An introduction to geographic information systems (gis)   m goulbourne 2007An introduction to geographic information systems (gis)   m goulbourne 2007
An introduction to geographic information systems (gis) m goulbourne 2007
Michelle Goulbourne @ DiaMind Health
 
B.sc biochem i bobi u 4 gene prediction
B.sc biochem i bobi u 4 gene predictionB.sc biochem i bobi u 4 gene prediction
B.sc biochem i bobi u 4 gene prediction
Rai University
 
September 1 Day Workshop
September 1 Day WorkshopSeptember 1 Day Workshop
September 1 Day WorkshopThe Biome
 
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSDRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
NIPER MOHALI
 
Dotplots for Bioinformatics
Dotplots for BioinformaticsDotplots for Bioinformatics
Dotplots for Bioinformaticsavrilcoghlan
 
Bioinformatics and Drug Discovery
Bioinformatics and Drug DiscoveryBioinformatics and Drug Discovery
Bioinformatics and Drug Discovery
Dr. Paulsharma Chakravarthy
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
Malla Reddy College of Pharmacy
 
Geographical information system : GIS and Social Media
Geographical information system : GIS and Social Media Geographical information system : GIS and Social Media
Geographical information system : GIS and Social Media
Imran Ghaznavi
 
Computer aided drug designing
Computer aided drug designing Computer aided drug designing
Computer aided drug designing Ayesha Aftab
 
Advantages of database management system
Advantages of database management system Advantages of database management system
Advantages of database management system
Nafeesa Naeem
 

Viewers also liked (20)

BITS: Basics of sequence databases
BITS: Basics of sequence databasesBITS: Basics of sequence databases
BITS: Basics of sequence databases
 
BITS: Basics of sequence analysis
BITS: Basics of sequence analysisBITS: Basics of sequence analysis
BITS: Basics of sequence analysis
 
BITS: Overview of important biological databases beyond sequences
BITS: Overview of important biological databases beyond sequencesBITS: Overview of important biological databases beyond sequences
BITS: Overview of important biological databases beyond sequences
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
L01 ecture 01-
L01 ecture 01-L01 ecture 01-
L01 ecture 01-
 
GenomeBrowser
GenomeBrowserGenomeBrowser
GenomeBrowser
 
Bioinformatics in dermato-oncology
Bioinformatics in dermato-oncologyBioinformatics in dermato-oncology
Bioinformatics in dermato-oncology
 
B.sc biochem i bobi u 3.2 algorithm + blast
B.sc biochem i bobi u 3.2 algorithm + blastB.sc biochem i bobi u 3.2 algorithm + blast
B.sc biochem i bobi u 3.2 algorithm + blast
 
How to evaluate the usefulness of digital libraries
How to evaluate the usefulness of digital librariesHow to evaluate the usefulness of digital libraries
How to evaluate the usefulness of digital libraries
 
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)
ARC VIEW GEOGRAPHICAL INFORMATION SYSTEM (GIS)
 
An introduction to geographic information systems (gis) m goulbourne 2007
An introduction to geographic information systems (gis)   m goulbourne 2007An introduction to geographic information systems (gis)   m goulbourne 2007
An introduction to geographic information systems (gis) m goulbourne 2007
 
B.sc biochem i bobi u 4 gene prediction
B.sc biochem i bobi u 4 gene predictionB.sc biochem i bobi u 4 gene prediction
B.sc biochem i bobi u 4 gene prediction
 
September 1 Day Workshop
September 1 Day WorkshopSeptember 1 Day Workshop
September 1 Day Workshop
 
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLSDRUG DESIGN BASED ON BIOINFORMATICS TOOLS
DRUG DESIGN BASED ON BIOINFORMATICS TOOLS
 
Dotplots for Bioinformatics
Dotplots for BioinformaticsDotplots for Bioinformatics
Dotplots for Bioinformatics
 
Bioinformatics and Drug Discovery
Bioinformatics and Drug DiscoveryBioinformatics and Drug Discovery
Bioinformatics and Drug Discovery
 
Multiple sequence alignment
Multiple sequence alignmentMultiple sequence alignment
Multiple sequence alignment
 
Geographical information system : GIS and Social Media
Geographical information system : GIS and Social Media Geographical information system : GIS and Social Media
Geographical information system : GIS and Social Media
 
Computer aided drug designing
Computer aided drug designing Computer aided drug designing
Computer aided drug designing
 
Advantages of database management system
Advantages of database management system Advantages of database management system
Advantages of database management system
 

Similar to BITs: Genome browsers and interpretation of gene lists.

Understanding Genome
Understanding Genome Understanding Genome
Understanding Genome
Rajendra K Labala
 
Software Pipelines: The Good, The Bad and The Ugly
Software Pipelines: The Good, The Bad and The UglySoftware Pipelines: The Good, The Bad and The Ugly
Software Pipelines: The Good, The Bad and The Ugly
João André Carriço
 
Cool Informatics Tools and Services for Biomedical Research
Cool Informatics Tools and Services for Biomedical ResearchCool Informatics Tools and Services for Biomedical Research
Cool Informatics Tools and Services for Biomedical ResearchDavid Ruau
 
BioCASE web services for germplasm data sets, at FAO, Rome (2006)
BioCASE web services for germplasm data sets, at FAO, Rome (2006)BioCASE web services for germplasm data sets, at FAO, Rome (2006)
BioCASE web services for germplasm data sets, at FAO, Rome (2006)
Dag Endresen
 
Role of ensembl in genome browsing
Role of ensembl in genome browsingRole of ensembl in genome browsing
Role of ensembl in genome browsing
Joydeep16
 
Eccmid meet the expert 2015
Eccmid meet the expert 2015Eccmid meet the expert 2015
Eccmid meet the expert 2015
João André Carriço
 
TGAC Browser bosc 2014
TGAC Browser bosc 2014TGAC Browser bosc 2014
TGAC Browser bosc 2014
Anil Thanki
 
02.databases slides
02.databases slides02.databases slides
02.databases slides
Itsme148
 
Ugene
UgeneUgene
Integrative Genomics Viewer
Integrative Genomics ViewerIntegrative Genomics Viewer
Integrative Genomics Viewer
Samarth Kulshrestha
 
Web based servers and softwares for genome analysis
Web based servers and softwares for genome analysisWeb based servers and softwares for genome analysis
Web based servers and softwares for genome analysis
Dr. Naveen Gaurav srivastava
 
Variant analysis and whole exome sequencing
Variant analysis and whole exome sequencingVariant analysis and whole exome sequencing
Variant analysis and whole exome sequencing
Bioinformatics and Computational Biosciences Branch
 
Browsing Genes, Variation and Regulation data with Ensembl
Browsing Genes, Variation and Regulation data with EnsemblBrowsing Genes, Variation and Regulation data with Ensembl
Browsing Genes, Variation and Regulation data with Ensembl
Denise Carvalho-Silva, PhD
 
Major biological nucleotide databases
Major biological nucleotide databasesMajor biological nucleotide databases
Major biological nucleotide databases
Vidya Kalaivani Rajkumar
 
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
Dag Endresen
 
bioinformatic.pptx
bioinformatic.pptxbioinformatic.pptx
bioinformatic.pptx
RitikaChoudhary57
 
Making Use of NGS Data: From Reads to Trees and Annotations
Making Use of NGS Data: From Reads to Trees and AnnotationsMaking Use of NGS Data: From Reads to Trees and Annotations
Making Use of NGS Data: From Reads to Trees and Annotations
João André Carriço
 
Protocols for genomics and proteomics
Protocols for genomics and proteomics Protocols for genomics and proteomics
Protocols for genomics and proteomics
Dr. Naveen Gaurav srivastava
 

Similar to BITs: Genome browsers and interpretation of gene lists. (20)

Understanding Genome
Understanding Genome Understanding Genome
Understanding Genome
 
Software Pipelines: The Good, The Bad and The Ugly
Software Pipelines: The Good, The Bad and The UglySoftware Pipelines: The Good, The Bad and The Ugly
Software Pipelines: The Good, The Bad and The Ugly
 
Cool Informatics Tools and Services for Biomedical Research
Cool Informatics Tools and Services for Biomedical ResearchCool Informatics Tools and Services for Biomedical Research
Cool Informatics Tools and Services for Biomedical Research
 
BioCASE web services for germplasm data sets, at FAO, Rome (2006)
BioCASE web services for germplasm data sets, at FAO, Rome (2006)BioCASE web services for germplasm data sets, at FAO, Rome (2006)
BioCASE web services for germplasm data sets, at FAO, Rome (2006)
 
Role of ensembl in genome browsing
Role of ensembl in genome browsingRole of ensembl in genome browsing
Role of ensembl in genome browsing
 
Eccmid meet the expert 2015
Eccmid meet the expert 2015Eccmid meet the expert 2015
Eccmid meet the expert 2015
 
Ensembl genome
Ensembl genomeEnsembl genome
Ensembl genome
 
TGAC Browser bosc 2014
TGAC Browser bosc 2014TGAC Browser bosc 2014
TGAC Browser bosc 2014
 
02.databases slides
02.databases slides02.databases slides
02.databases slides
 
Ugene
UgeneUgene
Ugene
 
Harvester I
Harvester IHarvester I
Harvester I
 
Integrative Genomics Viewer
Integrative Genomics ViewerIntegrative Genomics Viewer
Integrative Genomics Viewer
 
Web based servers and softwares for genome analysis
Web based servers and softwares for genome analysisWeb based servers and softwares for genome analysis
Web based servers and softwares for genome analysis
 
Variant analysis and whole exome sequencing
Variant analysis and whole exome sequencingVariant analysis and whole exome sequencing
Variant analysis and whole exome sequencing
 
Browsing Genes, Variation and Regulation data with Ensembl
Browsing Genes, Variation and Regulation data with EnsemblBrowsing Genes, Variation and Regulation data with Ensembl
Browsing Genes, Variation and Regulation data with Ensembl
 
Major biological nucleotide databases
Major biological nucleotide databasesMajor biological nucleotide databases
Major biological nucleotide databases
 
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
Prototype Crop Wild Relatives Portal, at the IMC Meeting (2007)
 
bioinformatic.pptx
bioinformatic.pptxbioinformatic.pptx
bioinformatic.pptx
 
Making Use of NGS Data: From Reads to Trees and Annotations
Making Use of NGS Data: From Reads to Trees and AnnotationsMaking Use of NGS Data: From Reads to Trees and Annotations
Making Use of NGS Data: From Reads to Trees and Annotations
 
Protocols for genomics and proteomics
Protocols for genomics and proteomics Protocols for genomics and proteomics
Protocols for genomics and proteomics
 

More from BITS

RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5
BITS
 
RNA-seq for DE analysis: extracting counts and QC - part 4
RNA-seq for DE analysis: extracting counts and QC - part 4RNA-seq for DE analysis: extracting counts and QC - part 4
RNA-seq for DE analysis: extracting counts and QC - part 4
BITS
 
RNA-seq for DE analysis: the biology behind observed changes - part 6
RNA-seq for DE analysis: the biology behind observed changes - part 6RNA-seq for DE analysis: the biology behind observed changes - part 6
RNA-seq for DE analysis: the biology behind observed changes - part 6
BITS
 
RNA-seq: analysis of raw data and preprocessing - part 2
RNA-seq: analysis of raw data and preprocessing - part 2RNA-seq: analysis of raw data and preprocessing - part 2
RNA-seq: analysis of raw data and preprocessing - part 2
BITS
 
RNA-seq: general concept, goal and experimental design - part 1
RNA-seq: general concept, goal and experimental design - part 1RNA-seq: general concept, goal and experimental design - part 1
RNA-seq: general concept, goal and experimental design - part 1
BITS
 
RNA-seq: Mapping and quality control - part 3
RNA-seq: Mapping and quality control - part 3RNA-seq: Mapping and quality control - part 3
RNA-seq: Mapping and quality control - part 3
BITS
 
Productivity tips - Introduction to linux for bioinformatics
Productivity tips - Introduction to linux for bioinformaticsProductivity tips - Introduction to linux for bioinformatics
Productivity tips - Introduction to linux for bioinformatics
BITS
 
Text mining on the command line - Introduction to linux for bioinformatics
Text mining on the command line - Introduction to linux for bioinformaticsText mining on the command line - Introduction to linux for bioinformatics
Text mining on the command line - Introduction to linux for bioinformatics
BITS
 
The structure of Linux - Introduction to Linux for bioinformatics
The structure of Linux - Introduction to Linux for bioinformaticsThe structure of Linux - Introduction to Linux for bioinformatics
The structure of Linux - Introduction to Linux for bioinformatics
BITS
 
Managing your data - Introduction to Linux for bioinformatics
Managing your data - Introduction to Linux for bioinformaticsManaging your data - Introduction to Linux for bioinformatics
Managing your data - Introduction to Linux for bioinformatics
BITS
 
Introduction to Linux for bioinformatics
Introduction to Linux for bioinformaticsIntroduction to Linux for bioinformatics
Introduction to Linux for bioinformatics
BITS
 
BITS - Genevestigator to easily access transcriptomics data
BITS - Genevestigator to easily access transcriptomics dataBITS - Genevestigator to easily access transcriptomics data
BITS - Genevestigator to easily access transcriptomics data
BITS
 
BITS - Comparative genomics: the Contra tool
BITS - Comparative genomics: the Contra toolBITS - Comparative genomics: the Contra tool
BITS - Comparative genomics: the Contra tool
BITS
 
BITS - Comparative genomics on the genome level
BITS - Comparative genomics on the genome levelBITS - Comparative genomics on the genome level
BITS - Comparative genomics on the genome level
BITS
 
BITS - Comparative genomics: gene family analysis
BITS - Comparative genomics: gene family analysisBITS - Comparative genomics: gene family analysis
BITS - Comparative genomics: gene family analysis
BITS
 
BITS - Introduction to comparative genomics
BITS - Introduction to comparative genomicsBITS - Introduction to comparative genomics
BITS - Introduction to comparative genomics
BITS
 
BITS - Protein inference from mass spectrometry data
BITS - Protein inference from mass spectrometry dataBITS - Protein inference from mass spectrometry data
BITS - Protein inference from mass spectrometry data
BITS
 
BITS - Overview of sequence databases for mass spectrometry data analysis
BITS - Overview of sequence databases for mass spectrometry data analysisBITS - Overview of sequence databases for mass spectrometry data analysis
BITS - Overview of sequence databases for mass spectrometry data analysis
BITS
 
BITS - Search engines for mass spec data
BITS - Search engines for mass spec dataBITS - Search engines for mass spec data
BITS - Search engines for mass spec data
BITS
 
BITS - Introduction to proteomics
BITS - Introduction to proteomicsBITS - Introduction to proteomics
BITS - Introduction to proteomics
BITS
 

More from BITS (20)

RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5
 
RNA-seq for DE analysis: extracting counts and QC - part 4
RNA-seq for DE analysis: extracting counts and QC - part 4RNA-seq for DE analysis: extracting counts and QC - part 4
RNA-seq for DE analysis: extracting counts and QC - part 4
 
RNA-seq for DE analysis: the biology behind observed changes - part 6
RNA-seq for DE analysis: the biology behind observed changes - part 6RNA-seq for DE analysis: the biology behind observed changes - part 6
RNA-seq for DE analysis: the biology behind observed changes - part 6
 
RNA-seq: analysis of raw data and preprocessing - part 2
RNA-seq: analysis of raw data and preprocessing - part 2RNA-seq: analysis of raw data and preprocessing - part 2
RNA-seq: analysis of raw data and preprocessing - part 2
 
RNA-seq: general concept, goal and experimental design - part 1
RNA-seq: general concept, goal and experimental design - part 1RNA-seq: general concept, goal and experimental design - part 1
RNA-seq: general concept, goal and experimental design - part 1
 
RNA-seq: Mapping and quality control - part 3
RNA-seq: Mapping and quality control - part 3RNA-seq: Mapping and quality control - part 3
RNA-seq: Mapping and quality control - part 3
 
Productivity tips - Introduction to linux for bioinformatics
Productivity tips - Introduction to linux for bioinformaticsProductivity tips - Introduction to linux for bioinformatics
Productivity tips - Introduction to linux for bioinformatics
 
Text mining on the command line - Introduction to linux for bioinformatics
Text mining on the command line - Introduction to linux for bioinformaticsText mining on the command line - Introduction to linux for bioinformatics
Text mining on the command line - Introduction to linux for bioinformatics
 
The structure of Linux - Introduction to Linux for bioinformatics
The structure of Linux - Introduction to Linux for bioinformaticsThe structure of Linux - Introduction to Linux for bioinformatics
The structure of Linux - Introduction to Linux for bioinformatics
 
Managing your data - Introduction to Linux for bioinformatics
Managing your data - Introduction to Linux for bioinformaticsManaging your data - Introduction to Linux for bioinformatics
Managing your data - Introduction to Linux for bioinformatics
 
Introduction to Linux for bioinformatics
Introduction to Linux for bioinformaticsIntroduction to Linux for bioinformatics
Introduction to Linux for bioinformatics
 
BITS - Genevestigator to easily access transcriptomics data
BITS - Genevestigator to easily access transcriptomics dataBITS - Genevestigator to easily access transcriptomics data
BITS - Genevestigator to easily access transcriptomics data
 
BITS - Comparative genomics: the Contra tool
BITS - Comparative genomics: the Contra toolBITS - Comparative genomics: the Contra tool
BITS - Comparative genomics: the Contra tool
 
BITS - Comparative genomics on the genome level
BITS - Comparative genomics on the genome levelBITS - Comparative genomics on the genome level
BITS - Comparative genomics on the genome level
 
BITS - Comparative genomics: gene family analysis
BITS - Comparative genomics: gene family analysisBITS - Comparative genomics: gene family analysis
BITS - Comparative genomics: gene family analysis
 
BITS - Introduction to comparative genomics
BITS - Introduction to comparative genomicsBITS - Introduction to comparative genomics
BITS - Introduction to comparative genomics
 
BITS - Protein inference from mass spectrometry data
BITS - Protein inference from mass spectrometry dataBITS - Protein inference from mass spectrometry data
BITS - Protein inference from mass spectrometry data
 
BITS - Overview of sequence databases for mass spectrometry data analysis
BITS - Overview of sequence databases for mass spectrometry data analysisBITS - Overview of sequence databases for mass spectrometry data analysis
BITS - Overview of sequence databases for mass spectrometry data analysis
 
BITS - Search engines for mass spec data
BITS - Search engines for mass spec dataBITS - Search engines for mass spec data
BITS - Search engines for mass spec data
 
BITS - Introduction to proteomics
BITS - Introduction to proteomicsBITS - Introduction to proteomics
BITS - Introduction to proteomics
 

Recently uploaded

A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
Anna Sz.
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
TechSoup
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
EduSkills OECD
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Atul Kumar Singh
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
BhavyaRajput3
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
EverAndrsGuerraGuerr
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
kaushalkr1407
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
DeeptiGupta154
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
DhatriParmar
 

Recently uploaded (20)

A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
Polish students' mobility in the Czech Republic
Polish students' mobility in the Czech RepublicPolish students' mobility in the Czech Republic
Polish students' mobility in the Czech Republic
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup   New Member Orientation and Q&A (May 2024).pdfWelcome to TechSoup   New Member Orientation and Q&A (May 2024).pdf
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdf
 
Francesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptxFrancesca Gottschalk - How can education support child empowerment.pptx
Francesca Gottschalk - How can education support child empowerment.pptx
 
Guidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th SemesterGuidance_and_Counselling.pdf B.Ed. 4th Semester
Guidance_and_Counselling.pdf B.Ed. 4th Semester
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCECLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
CLASS 11 CBSE B.St Project AIDS TO TRADE - INSURANCE
 
Thesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.pptThesis Statement for students diagnonsed withADHD.ppt
Thesis Statement for students diagnonsed withADHD.ppt
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
 
Overview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with MechanismOverview on Edible Vaccine: Pros & Cons with Mechanism
Overview on Edible Vaccine: Pros & Cons with Mechanism
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
The Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptxThe Accursed House by Émile Gaboriau.pptx
The Accursed House by Émile Gaboriau.pptx
 

BITs: Genome browsers and interpretation of gene lists.