Automatic functional transcriptomic annotation Bioinformatic school CIBA

6
Automatic functional transcriptomic annotation Bioinformatic school CIBA Manuel Ruiz (CIRAD) Alexis Dereeper (IRD) Marilyne Summo (CIRAD)

description

Automatic functional transcriptomic annotation Bioinformatic school CIBA. Manuel Ruiz (CIRAD) Alexis Dereeper (IRD) Marilyne Summo (CIRAD). Transcriptomic data. Genomic expression changes. Signal. expressed proteins Transcriptomic analysis => functions adaptation. - PowerPoint PPT Presentation

Transcript of Automatic functional transcriptomic annotation Bioinformatic school CIBA

Page 1: Automatic functional transcriptomic annotation Bioinformatic school CIBA

Automatic functional transcriptomic annotation

Bioinformatic school CIBA

Manuel Ruiz (CIRAD)

Alexis Dereeper (IRD)

Marilyne Summo (CIRAD)

Page 2: Automatic functional transcriptomic annotation Bioinformatic school CIBA

Transcriptomic data

SignalGenomic expression changes

expressed proteinsTranscriptomic analysis => functions

adaptation

Page 3: Automatic functional transcriptomic annotation Bioinformatic school CIBA

Transcriptomic analysis

High-throughput sequencing :

=> Higher quantity of data. => Lesser cost.

Problematic:

* How to store data ? * How to analyse data ?

Sanger Pyroséquençage 454

1000 seq. 500 000 seq.

Page 4: Automatic functional transcriptomic annotation Bioinformatic school CIBA

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

Page 5: Automatic functional transcriptomic annotation Bioinformatic school CIBA
Page 6: Automatic functional transcriptomic annotation Bioinformatic school CIBA

454 data

Transcripts

Random cutting 200 – 800 bases

454 sequencing => ~380 bases

Transcript contig assembly

Consensus sequence