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Automatic Functional Transcriptomic Annotation and Analysis: Tools and Methods

Explore the challenges and solutions in automatic functional transcriptomic annotation in the context of high-throughput sequencing. This informative discussion led by experts Manuel Ruiz, Alexis Dereeper, and Marilyne Summo from CIBA and CIRAD highlights the significance of managing large genomic expression datasets, particularly focusing on expressed proteins and adaptation functions. Learn about the ESTtik tool, designed for efficient transcriptomic data analysis, including storage, assembly, and web interface capabilities. Gain insights into how to navigate the complexities of transcriptomic data analysis cost-effectively.

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Automatic Functional Transcriptomic Annotation and Analysis: Tools and Methods

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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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