De novo transcriptome assembly with ABySS - PubMed (original) (raw)
. 2009 Nov 1;25(21):2872-7.
doi: 10.1093/bioinformatics/btp367. Epub 2009 Jun 15.
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, Steven J M Jones
Affiliations
- PMID: 19528083
- DOI: 10.1093/bioinformatics/btp367
De novo transcriptome assembly with ABySS
Inanç Birol et al. Bioinformatics. 2009.
Abstract
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 approximately 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.
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