Aug

29

DEB: A web interface for RNA-seq digital gene expression analysis

Filed Under Expression and Quantification 

Typically, RNA-Seq reads are classified based on their mapping to a common region of the target genome such as exon or transcript. One of the fundamental data analysis tasks for RNA-seq studies is to determine whether there is evidence that read counts for a transcript or gene are significantly different across experimental conditions. At present, there are three major algorithms to address this.

EdgeR, DESeq and bayseq are available as R packages, to compare sequencing reads and to identify significantly expressed transcripts or genes. For these bioinformatics packages, users have to manually install and run each separately.

Here, the authors present a pipeline, DEB which automates all the steps in file preparation, computation and result comparison.

Availability: DEB is freely accessed at http://www.ijbcb.org/DEB/php/onlinetool.php

  • Yao JQ, Yu F. (2011) DEB: A web interface for RNA-seq digital gene expression analysis. Bioinformation 7(1), 44-45. [abstract]

Incoming search terms:

  • DEB RNA-seq
  • RNA-seq website
  • deb anlayışı
  • deb rna seq
  • deb rnaseq
  • digital rna seq
  • rna-seq analysis on the web

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