Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach.

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Bibliographic Details
Title: Genome-wide identification of conserved intronic non-coding sequences using a Bayesian segmentation approach.
Authors: Algama M; School of Mathematical Sciences, Monash University, Melbourne, VIC, 3800, Australia., Tasker E; School of Mathematical Sciences, Monash University, Melbourne, VIC, 3800, Australia., Williams C; School of Biological Sciences, Monash University, Melbourne, VIC, 3800, Australia., Parslow AC; School of Biological Sciences, Monash University, Melbourne, VIC, 3800, Australia., Bryson-Richardson RJ; School of Biological Sciences, Monash University, Melbourne, VIC, 3800, Australia., Keith JM; School of Mathematical Sciences, Monash University, Melbourne, VIC, 3800, Australia. jonathan.keith@monash.edu.
Source: BMC genomics [BMC Genomics] 2017 Mar 27; Vol. 18 (1), pp. 259. Date of Electronic Publication: 2017 Mar 27.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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/s12864-017-3645-2