Abstract
Background The current revolution in sequencing technologies allows us to obtain a much more detailed picture of transcriptomes via deep RNA Sequencing (RNA-Seq). In considering the full complement of RNA transcripts that comprise the transcriptome, two important analytical questions emerge: what is the abundance of RNA transcripts and which genes or transcripts are differentially expressed. In parallel with developing sequencing technologies, data analysis software is also constantly updated to improve accuracy and sensitivity while minimizing run times. The abundance of software programs, however, can be prohibitive and confusing for researchers evaluating RNA-Seq analysis pipelines.
Highlights
The current revolution in sequencing technologies allows us to obtain a much more detailed picture of transcriptomes via deep RNA Sequencing (RNA-Seq)
In considering the full complement of RNA transcripts that comprise the transcriptome, two important analytical questions emerge: what is the abundance of RNA transcripts and which genes or transcripts are differentially expressed
Published: 11 February 2014 doi:10.1186/1471-2105-15-S3-A7 Cite this article as: Sreedharan et al.: Oqtans: a multifunctional workbench for RNA-seq data analysis
Summary
Vipin T Sreedharan1*, Sebastian J Schultheiss2*, Géraldine Jean2*, André Kahles[1], Regina Bohnert[2], Philipp Drewe[1], Pramod Mudrakarta[2], Nico Görnitz[3], Georg Zeller[4], Gunnar Rätsch[1]. From Ninth International Society for Computational Biology (ISCB) Student Council Symposium 2013 Berlin, Germany. From Ninth International Society for Computational Biology (ISCB) Student Council Symposium 2013 Berlin, Germany. 19 July 2013
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