ORMAN: optimal resolution of ambiguous RNA-Seq multimappings in the presence of novel isoforms.

Dao, Phuong; Numanagic, Ibrahim; Lin, Yen-Yi; Hach, Faraz; Karakoc, Emre; Donmez, Nilgun; Collins, Colin; Eichler, Evan E; Sahinalp, S Cenk

Dao, Phuong; Numanagic, Ibrahim; Lin, Yen-Yi; Hach, Faraz; Karakoc, Emre; Donmez, Nilgun; Collins, Colin; Eichler, Evan E; Sahinalp, S Cenk.

Affiliation

Dao P; School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, Department of Genome Sciences, University of Washington, Seattle, WA, USA, Vancouver Prostate Centre & Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada and Division of Computer Science, School of Informatics and Computing, Indiana University, Bloomington, IN, USA.

Bioinformatics ; 30(5): 644-51, 2014 Mar 01.

Article in En | MEDLINE | ID: mdl-24130305

Subject(s)

Gene Expression Profiling/methods; RNA Isoforms/metabolism; Sequence Analysis, RNA/methods; Software; Algorithms; Alternative Splicing; Exons; Humans; RNA Isoforms/chemistry; Sequence Alignment

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Sequence Analysis, RNA / Gene Expression Profiling / RNA Isoforms Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2014 Type: Article Affiliation country: United States

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