southgreen.cirad.fr
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Introduction, presentation of the Southgreen platform. http://southgreen.cirad.fr/. Manuel Ruiz, Bioinformatics School, Campinas, Sao Paulo, Brazil, 21-26 november 2011. Montpellier. The impact of NGS. Today within labs, bioinformaticians can perform a comprehensive analysis of - PowerPoint PPT PresentationTRANSCRIPT
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http://southgreen.cirad.fr/
Manuel Ruiz, Bioinformatics School, Campinas, Sao Paulo, Brazil, 21-26 november 2011
Introduction, presentation of the
Southgreen platform.
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Montpellier
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Today within labs, bioinformaticians can perform a comprehensive analysis of
TranscriptomicsGenome resequencing
Tomorrow:Sequencing of new genomesMetagenomics: ecosystems
After :Sequencing cell / cell...
The impact of NGS
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Schatz MC, Delcher AL, Salzberg SL: Assembly of large genomes using second-generation sequencing. Genome Res, 20(9):1165-1173.
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de novo assembling
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How to apply de Bruijn graphs to genome assembly, Phillip E C Compeau ,Pavel A Pevzner , Glenn Tesler
Nature Biotechnology, 29,, 987–991 (2011)
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Mapping
Trapnell C, Salzberg SL: How to map billions of short reads onto genomes. Nat Biotechnol 2009, 27(5):455-457.
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Stein LD: The case for cloud computing in genome informatics. Genome Biol 2010, 11(5):207.
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Stein, L.D. (2008) Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges, Nat Rev Genet,
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Stein, L.D. (2008) Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges, Nat Rev Genet,
“ in a decade the cyberinfrastructure will be an absolutely indispensable part of the biological researcher’s equipment”
“biological researchers will need to become familiar with the basics of computer science,[…], and have the skills to put this information in a form that can be readily adapted and re used by others in the ‑community. This will require changes in the way biology is taught at the undergraduate and graduate levels”
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Stein, L.D. (2008) Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges, Nat Rev Genet,
“ in a decade the cyberinfrastructure will be an absolutely indispensable part of the biological researcher’s equipment”
“biological researchers will need to become familiar with the basics of computer science,[…], and have the skills to put this information in a form that can be readily adapted and re used by others in the ‑community. This will require changes in the way biology is taught at the undergraduate and graduate levels”
http://bloggingforconservation.blogspot.com
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http://southgreen.cirad.fr
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• Funded by the French National Research Agency ANR (2008-2010)
• CIRAD, Bioversity & INRA• Community annotation system
(CAS) of structural and functional annotation
• Automatic predictions and manual curations of genes and transposable elements
• Based on GMOD components
Stéphanie Sidibe Bocs
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http://orygenesdb.cirad.fr/tools.html/
Gaëtan Droc
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v2.0v2.0•16 plant species•13.000 gene families•587.000 genes
Matthieu Conte
Mathieu Rouard
Jean-François Dufayard
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Xavier Argout
Marilyne Summo
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SNIPlay
Alexis Dereeper
A web-based tool for SNP and polymorphism analysis. From sequencing traces, alignment or allelic data given as input, it detects SNP and insertion/deletion events, and sends sequences and allelic data to an integrative pipeline (haplotype reconstruction, haplotype network, LD, diversity)
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Available reference ?genome/transcriptome
454 sequencing
De novo reference assembly
Solexa sequencing
Mapping on reference
Polymorphism database in adapted format• redundancy• open reading frame • CDS/UTR
Diversity study• Comparative domestication• Life history trait impact• Functionnal evolution
YesNo
Ortholog/paralogs assignation
Solexa sequencing
CROP BreedingSNP database
• functional annotation• selection footprint
Strategy : comparative population genomics with transcriptomics data
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Thanks to
Equipe Intégration Des Données, UMR AGAP
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Thank you
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Analyse comparative des transcrits
• Problématique: homologie entre les transcrits.
• Objectif: distinguer les paralogies des autres types d'homologies (allélisme, polymorphisme...)
Analyse comparative après l'étape d'assemblage
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Analyse comparative des transcrits
Implémentationsous GALAXY
Démarche:
Regroupement en clusters Alignement multiple
Reconstruction phylogénétique
Analyse phylogénétique
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Analyse comparative des transcrits
Alignement multiple
Phylogénie
Divergence totale
Paralogies
Seuil de divergence
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