Read-Split-Run: an improved bioinformatics pipeline for identification of genome-wide non-canonical spliced regions using RNA-Seq data.

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Bibliographic Details
Title: Read-Split-Run: an improved bioinformatics pipeline for identification of genome-wide non-canonical spliced regions using RNA-Seq data.
Authors: Bai Y; Department of Biology, Terre Haute, USA. Yongsheng.Bai@indstate.edu.; The Center for Genomic Advocacy, Indiana State University, 600 Chestnut Street, Terre Haute, IN, 47809, USA. Yongsheng.Bai@indstate.edu., Kinne J; Department of Mathematics and Computer Science, Indiana State University, 200 North Seventh Street, Terre Haute, IN, 47809, USA., Donham B; Department of Mathematics and Computer Science, Indiana State University, 200 North Seventh Street, Terre Haute, IN, 47809, USA., Jiang F; Department of Mathematics and Computer Science, Indiana State University, 200 North Seventh Street, Terre Haute, IN, 47809, USA., Ding L; Department of Biology, Terre Haute, USA., Hassler JR; Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, California, 92037, USA., Kaufman RJ; Sanford-Burnham-Prebys Medical Discovery Institute, La Jolla, California, 92037, USA.
Source: BMC genomics [BMC Genomics] 2016 Aug 22; Vol. 17 Suppl 7, pp. 503. Date of Electronic Publication: 2016 Aug 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2164
DOI:10.1186/s12864-016-2896-7