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De novo transcriptome assembly with ABySS
Author(s) -
İnanç Birol,
Shaun D. Jackman,
Cydney Nielsen,
Jenny Q. Qian,
Richard Varhol,
Greg Stazyk,
Ryan D. Morin,
Yongjun Zhao,
Martin Hirst,
Jacqueline E. Schein,
Doug Horsman,
Joseph M. Connors,
Randy D. Gascoyne,
Marco A. Marra,
Steven J.M. Jones
Publication year - 2009
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btp367
Subject(s) - contig , sequence assembly , transcriptome , genome , computational biology , java , biology , de novo transcriptome assembly , software , computer science , hybrid genome assembly , source code , shotgun sequencing , reference genome , perl , genetics , gene , programming language , gene expression
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.

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