Journal Article

<i>De novo</i> transcriptome assembly with ABySS

Inanç Birol, Shaun D. Jackman, Cydney B. Nielsen, Jenny Q. Qian, Richard Varhol, Greg Stazyk, Ryan D. Morin, Yongjun Zhao, Martin Hirst, Jacqueline E. Schein, Doug E. Horsman, Joseph M. Connors, Randy D. Gascoyne, Marco A. Marra and Steven J. M. Jones

in Bioinformatics

Volume 25, issue 21, pages 2872-2877
Published in print November 2009 | ISSN: 1367-4803
Published online June 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp367
De novo transcriptome assembly with ABySS

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Motivation: Whole transcriptome shotgun sequencing data from non-normalized samples offer unique opportunities to study the metabolic states of organisms. One can deduce gene expression levels using sequence coverage as a surrogate, identify coding changes or discover novel isoforms or transcripts. Especially for discovery of novel events, de novo assembly of transcriptomes is desirable.

Results: Transcriptome from tumor tissue of a patient with follicular lymphoma was sequenced with 36 base pair (bp) single- and paired-end reads on the Illumina Genome Analyzer II platform. We assembled ∼194 million reads using ABySS into 66 921 contigs 100 bp or longer, with a maximum contig length of 10 951 bp, representing over 30 million base pairs of unique transcriptome sequence, or roughly 1% of the genome.

Availability and Implementation: Source code and binaries of ABySS are freely available for download at http://www.bcgsc.ca/platform/bioinfo/software/abyss. Assembler tool is implemented in C++. The parallel version uses Open MPI. ABySS-Explorer tool is implemented in Java using the Java universal network/graph framework.

Contact: ibirol@bcgsc.ca

Journal Article.  4922 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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