EBARDenovo
Computational Tool
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General Information
DescriptionHighly accurate de novo assembly of RNA-Seq with efficient chimera-detection
Homepagehttp://ebardenovo.sourceforge.net/
Publications
EBARDenovo: highly accurate de novo assembly of RNA-Seq with efficient chimera-detection
Hsueh-Ting Chu; William W. L. Hsiao; Jen-Chih Chen; Tze-Jung Yeh; Mong-Hsun Tsai; Han Lin; Yen-Wenn Liu; Sheng-An Lee; Chaur-Chin Chen; Theresa T. H. Tsao; Cheng-Yan Kao
Motivation: High-accuracy de novo assembly of the short sequencing reads from RNA-Seq technology is very challenging. We introduce a de novo assembly algorithm, EBARDenovo, which stands for Extension, Bridging And Repeat-sensing Denovo. This algorithm uses an efficient chimera-detection function to abrogate the effect of aberrant chimeric reads in RNA-Seq data.
Results: EBARDenovo resolves the complications of RNA-Seq assembly arising from sequencing errors, repetitive sequences and aberrant chimeric amplicons. In a series of assembly experiments, our algorithm is the most accurate among the examined programs, including de Bruijn graph assemblers, Trinity and Oases.
Availability and implementation: EBARDenovo is available at http://ebardenovo.sourceforge.net/. This software package (with patent pending) is free of charge for academic use only.
Contact: cykao@csie.ntu.edu.tw, htchu@asia.edu.tw or postergrey@gmail.com
Supplementary information: Supplementary data are available at Bioinformatics online.
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