Generation of expression calls for RNA-seq data

Authors

  • Marta Rosikiewicz 1 Department of Ecology and Evolution, University of Lausanne, Lausanne 2 Swiss Institute of Bioinformatics, Lausanne
  • Marc Robinson-Rechavi 1 Department of Ecology and Evolution, University of Lausanne, Lausanne 2 Swiss Institute of Bioinformatics, Lausanne

DOI:

https://doi.org/10.14806/ej.19.A.670

Keywords:

next generation sequencing expression calls

Abstract

The Bgee database (database for Gene Expression Evolution) (Bastian et al., 2008) provides information about genes that are expressed in a different organs and tissues. In order to introduce and RNA-seq results into database we had to develop methodology for deriving expressed/unexpressed calls for genes. Such detection calls can be used for characterization of the tissue gene expression profile. Additionally detection calls are widely used in transcriptomic studies for filtering the genes used for differential expression analysis, clustering samples or building more reliable classifiers The goal of our work is to find automatic way for defining the cut-off value on transcription level that allows discrimination between expressed and non-expressed genomic features for each library individually.

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Published

2013-04-08

Issue

Vol. 19: Supplement A

Section

Posters

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