Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions-Reference-Cited by-同舟云学术

Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions

Published:2015-12 Issue:S12 Volume:16 Page:
ISSN:1471-2164
Container-title:BMC Genomics
language:en
Short-container-title:BMC Genomics

Author:

Saito Yutaka,Mituyama Toutai

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Link

http://link.springer.com/content/pdf/10.1186/1471-2164-16-S12-S3.pdf

Reference22 articles.

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2. Laird PW: Principles and challenges of genomewide DNA methylation analysis. Nat. Rev. Genet. 2010, 11 (3): 191-203.

3. Xi Y, Li W: BSMAP: whole genome bisulfite sequence MAPping program. BMC Bioinformatics. 2009, 10: 232-

4. Krueger F, Andrews SR: Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics. 2011, 27 (11): 1571-1572.

5. Frith MC, Mori R, Asai K: A mostly traditional approach improves alignment of bisulfite-converted DNA. Nucleic Acids Res. 2012, 40 (13): 100-

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