Literature DB >> 35505218

Differential Methylation Analysis for Bisulfite Sequencing (BS-Seq) Data.

Hao Feng1, Karen Conneely2,3, Hao Wu1.   

Abstract

Bisulfite sequencing (BS-seq) technology has enabled the detection and measurement of DNA methylation at the single-nucleotide level. A fundamental question in functional epigenomics research is whether DNA methylation varies under different biological contexts. Thus, identifying differentially methylated loci/regions (DML/DMRs) is a key task in BS-seq data analysis. Here we describe detailed procedures to perform differential methylation analyses for BS-seq using the Bioconductor package DSS. The analysis scheme in this chapter will guide researchers through differential methylation analyses by providing step-by-step instructions for analytical tools.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bisulfite sequencing; Differential methylation; Epigenetics; Methylation; Methylation analysis

Mesh:

Substances:

Year:  2022        PMID: 35505218     DOI: 10.1007/978-1-0716-1994-0_16

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

Review 1.  DNA methylation patterns and epigenetic memory.

Authors:  Adrian Bird
Journal:  Genes Dev       Date:  2002-01-01       Impact factor: 11.361

2.  The role of DNA methylation in mammalian epigenetics.

Authors:  P A Jones; D Takai
Journal:  Science       Date:  2001-08-10       Impact factor: 47.728

Review 3.  Functions of DNA methylation: islands, start sites, gene bodies and beyond.

Authors:  Peter A Jones
Journal:  Nat Rev Genet       Date:  2012-05-29       Impact factor: 53.242

4.  Genome-wide evolutionary analysis of eukaryotic DNA methylation.

Authors:  Assaf Zemach; Ivy E McDaniel; Pedro Silva; Daniel Zilberman
Journal:  Science       Date:  2010-04-15       Impact factor: 47.728

5.  Genome-wide analysis of Arabidopsis thaliana DNA methylation uncovers an interdependence between methylation and transcription.

Authors:  Daniel Zilberman; Mary Gehring; Robert K Tran; Tracy Ballinger; Steven Henikoff
Journal:  Nat Genet       Date:  2006-11-26       Impact factor: 38.330

6.  Highly integrated single-base resolution maps of the epigenome in Arabidopsis.

Authors:  Ryan Lister; Ronan C O'Malley; Julian Tonti-Filippini; Brian D Gregory; Charles C Berry; A Harvey Millar; Joseph R Ecker
Journal:  Cell       Date:  2008-05-02       Impact factor: 41.582

7.  Role for DNA methylation in genomic imprinting.

Authors:  E Li; C Beard; R Jaenisch
Journal:  Nature       Date:  1993-11-25       Impact factor: 49.962

Review 8.  Stability and flexibility of epigenetic gene regulation in mammalian development.

Authors:  Wolf Reik
Journal:  Nature       Date:  2007-05-24       Impact factor: 49.962

9.  Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning.

Authors:  Shawn J Cokus; Suhua Feng; Xiaoyu Zhang; Zugen Chen; Barry Merriman; Christian D Haudenschild; Sriharsa Pradhan; Stanley F Nelson; Matteo Pellegrini; Steven E Jacobsen
Journal:  Nature       Date:  2008-02-17       Impact factor: 49.962

10.  methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles.

Authors:  Altuna Akalin; Matthias Kormaksson; Sheng Li; Francine E Garrett-Bakelman; Maria E Figueroa; Ari Melnick; Christopher E Mason
Journal:  Genome Biol       Date:  2012-10-03       Impact factor: 13.583

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