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dc.contributor.authorRobertson, G.
dc.contributor.authorSchein, J.
dc.contributor.authorChiu, R.
dc.contributor.authorCorbett, R.
dc.contributor.authorField, M.
dc.contributor.authorJackman, S.
dc.contributor.authorMungall, K.
dc.contributor.authorLee, S.
dc.contributor.authorOkada, H.
dc.contributor.authorQian, J.
dc.contributor.authorGriffith, M.
dc.contributor.authorRaymond, A.
dc.contributor.authorThiessen, N.
dc.contributor.authorCezard, T.
dc.contributor.authorButterfield, Y.
dc.contributor.authorNewsome, R.
dc.contributor.authorChan, S.
dc.contributor.authorShe, R.
dc.contributor.authorVarhol, Richard
dc.contributor.authorKamoh, B.
dc.contributor.authorPrabhu, A.
dc.contributor.authorTam, A.
dc.contributor.authorZhao, Y.
dc.contributor.authorMoore, R.
dc.contributor.authorHirst, M.
dc.contributor.authorMarra, M.
dc.contributor.authorJones, S.
dc.contributor.authorHoodless, P.
dc.contributor.authorBirol, I.
dc.date.accessioned2017-01-30T11:56:27Z
dc.date.available2017-01-30T11:56:27Z
dc.date.created2016-09-12T08:37:05Z
dc.date.issued2010
dc.date.submitted2016-09-12
dc.identifier.citationRobertson, G. and Schein, J. and Chiu, R. and Corbett, R. and Field, M. and Jackman, S. and Mungall, K. et al. 2010. De novo assembly and analysis of RNA-seq data. Nature Methods. 7 (11): pp. 909-912.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16548
dc.identifier.doi10.1038/nmeth.1517
dc.description.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. © 2010 Nature America, Inc. All rights reserved.

dc.titleDe novo assembly and analysis of RNA-seq data
dc.typeJournal Article
dcterms.dateSubmitted2016-09-12
dcterms.source.volume7
dcterms.source.number11
dcterms.source.startPage909
dcterms.source.endPage912
dcterms.source.issn1548-7091
dcterms.source.titleNature Methods
curtin.digitool.pid244142
curtin.pubStatusPublished
curtin.refereedTRUE
curtin.departmentDepartment of Health Policy and Management
curtin.identifier.scriptidPUB-VC-ORD-SA-29232
curtin.identifier.elementsidELEMENTS-70085
curtin.accessStatusFulltext not available


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