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rQuant: Quantitative Detection of Alternative Transcripts with RNA-Seq Data

High-throughput sequencing technologies open exciting new approaches to transcriptome profiling. For the important task of inferring transcript abundances from RNA-seq data, we developed a new technique, called rQuant, based on quadratic programming. Our method incorporates biases introduced by experimental settings and is thus a powerful tool to reveal and quantify novel (alternative) transcripts.

Software

Code will be available early 2010. Meanwhile, please check out our web service rQuant.web.

Talks/Conferences

Slides of the talk on "rQuant: Quantitative Detection of Alternative Transcripts with RNA-Seq Data" by Regina Bohnert at the Short-SIG of ISMB/ECCB 2009 in Stockholm, Sweden, on June 28, 2009 can be found here.

References

[1] Bohnert, R, Behr, J, and Rätsch, G (2009): Transcript quantification with RNA-Seq data.
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