BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach

标题
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
作者
关键词
Methylation Level, Copy Number Variation, High Posterior Density, Read Density, Copy Number State
出版物
GENOME BIOLOGY
Volume 15, Issue 2, Pages R35
出版商
Springer Nature
发表日期
2014-02-11
DOI
10.1186/gb-2014-15-2-r35

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started