De novo assembly and analysis of RNA-seq data View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-11

AUTHORS

Gordon Robertson, Jacqueline Schein, Readman Chiu, Richard Corbett, Matthew Field, Shaun D Jackman, Karen Mungall, Sam Lee, Hisanaga Mark Okada, Jenny Q Qian, Malachi Griffith, Anthony Raymond, Nina Thiessen, Timothee Cezard, Yaron S Butterfield, Richard Newsome, Simon K Chan, Rong She, Richard Varhol, Baljit Kamoh, Anna-Liisa Prabhu, Angela Tam, YongJun Zhao, Richard A Moore, Martin Hirst, Marco A Marra, Steven J M Jones, Pamela A Hoodless, Inanc Birol

ABSTRACT

We describe Trans-ABySS, a de novo short-read transcriptome assembly and analysis pipeline that addresses variation in local read densities by assembling read substrings with varying stringencies and then merging the resulting contigs before analysis. Analyzing 7.4 gigabases of 50-base-pair paired-end Illumina reads from an adult mouse liver poly(A) RNA library, we identified known, new and alternative structures in expressed transcripts, and achieved high sensitivity and specificity relative to reference-based assembly methods. More... »

PAGES

909

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.1517

DOI

http://dx.doi.org/10.1038/nmeth.1517

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032102367

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20935650


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