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

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

3. Transcriptomic analysis High-throughput sequencing : => Higher quantity of data. => Lesser cost. Problematic: * How to store data ? * How to analyse data ? SangerPyroséquençage 454 1000 seq.500 000 seq.

4. 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. http://esttik.cirad.fr

6. 454 data Transcripts Random cutting 200 – 800 bases 454 sequencing => ~380 bases Transcript contig assembly Consensus sequence