%A Huang,Songbo %A Zhang,Jinbo %A Li,Ruiqiang %A Zhang,Wenqian %A He,Zengquan %A Lam,Tak-Wah %A Peng,Zhiyu %A Yiu,Siu-Ming %D 2011 %J Frontiers in Genetics %C %F %G English %K RNA-Seq,splice junction,spliced alignment %Q %R 10.3389/fgene.2011.00046 %W %L %M %P %7 %8 2011-July-07 %9 Methods %+ Dr Zhiyu Peng,Beijing Genomics Institute at Shenzhen,Bioinformatics Center,Shenzhen,China,pengbgi@gmail.com %+ Dr Siu-Ming Yiu,The University of Hong Kong,Department of Computer Science,Hong Kong,China,smyiu@cs.hku.hk %# %! splice junction detection with RNA-Seq %* %< %T SOAPsplice: Genome-Wide ab initio Detection of Splice Junctions from RNA-Seq Data %U https://www.frontiersin.org/articles/10.3389/fgene.2011.00046 %V 2 %0 JOURNAL ARTICLE %@ 1664-8021 %X RNA-Seq, a method using next generation sequencing technologies to sequence the transcriptome, facilitates genome-wide analysis of splice junction sites. In this paper, we introduce SOAPsplice, a robust tool to detect splice junctions using RNA-Seq data without using any information of known splice junctions. SOAPsplice uses a novel two-step approach consisting of first identifying as many reasonable splice junction candidates as possible, and then, filtering the false positives with two effective filtering strategies. In both simulated and real datasets, SOAPsplice is able to detect many reliable splice junctions with low false positive rate. The improvement gained by SOAPsplice, when compared to other existing tools, becomes more obvious when the depth of sequencing is low. SOAPsplice is freely available at http://soap.genomics.org.cn/soapsplice.html.