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DSGseq | Identifying differentially spliced genes from two groups of RNA-seq samples

Recognizes differentially spliced genes from two groups of RNA-seq samples. DSGseq is based on a negative binomial (NB)-statistic method. It does not require a prior knowledge on the annotation of alternative splicing (AS). This tool is able to design sequencing reads on exons by making comparison between read counts on all exons. It does not need to deduce isoform structure or to determine isoform expression.

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DSGseq classification

DSGseq specifications

Unique identifier:
Command line interface
Input data:
Read count
Biological technology:
Illumina, Life Technologies, Roche
Programming languages:
C, R
Software type:
Restrictions to use:
Output data:
Differences in the relative abundance of the isoforms of each gene in the annotation
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:

DSGseq distribution


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DSGseq support


  • Zhiyi Qin <>
  • Weichen Wang <>


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MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic and Systems Biology, TNLIST, Department of Automation, Tsinghua University, Beijing, China

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