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Automatic Functional Transcriptomic Annotation for Genomic Expression Analysis at CIBA School

Join the Bioinformatic CIBA School by Manuel Ruiz (CIRAD), Alexis Dereeper (IRD), and Marilyne Summo (CIRAD) to explore the analysis of transcriptomic data and genomic expression changes in signal-expressed proteins. Learn about high-throughput sequencing leading to higher data quantity at lower costs. Discover ESTtik, an automatic transcriptomic annotation package, that can manage 454 data with integrated analysis tools. Solve data storage and analysis problems with a request web interface at http://esttik.cirad.fr.

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Automatic Functional Transcriptomic Annotation for Genomic Expression Analysis at CIBA School

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

  2. Transcriptomic data Genomic expression changes Signal 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 ?

  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

  5. 454 data Transcripts Random cutting 200 – 800 bases 454 sequencing => ~380 bases Transcript contig assembly Consensus sequence

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