Automatic functional transcriptomic annotation Bioinformatic school CIBA Manuel Ruiz (CIRAD) Alexis Dereeper (IRD) Marilyne Summo (CIRAD)

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Presentation transcript:

Automatic functional transcriptomic annotation Bioinformatic school CIBA Manuel Ruiz (CIRAD) Alexis Dereeper (IRD) Marilyne Summo (CIRAD)

Transcriptomic data Signal Genomic expression changes expressed proteins Transcriptomic analysis => functions adaptation

Transcriptomic analysis High-throughput sequencing : => Higher quantity of data. => Lesser cost. Problematic: * How to store data ? * How to analyse data ? SangerPyroséquençage seq seq.

Available tools ESTtik : « Expressed Sequence Tag Treatment and Investigation Kit » Automatic transcriptomic annotation package Can manage 454 data Integrate the analysis in a complete database and request web interface.

454 data Transcripts Random cutting 200 – 800 bases 454 sequencing => ~380 bases Transcript contig assembly Consensus sequence