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A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics
Author(s) -
Qiang Song,
Benjamin E. Decato,
Elizabeth E. Hong,
Meng Zhou,
Fang Fang,
Jianghan Qu,
Tyler H. Garvin,
Michael D. Kessler,
Jun Zhou,
Andrew D. Smith
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0081148
Subject(s) - dna methylation , epigenomics , bisulfite sequencing , computational biology , biology , genome , pipeline (software) , genomics , genetics , computer science , gene , gene expression , programming language
DNA methylation is implicated in a surprising diversity of regulatory, evolutionary processes and diseases in eukaryotes. The introduction of whole-genome bisulfite sequencing has enabled the study of DNA methylation at a single-base resolution, revealing many new aspects of DNA methylation and highlighting the usefulness of methylome data in understanding a variety of genomic phenomena. As the number of publicly available whole-genome bisulfite sequencing studies reaches into the hundreds, reliable and convenient tools for comparing and analyzing methylomes become increasingly important. We present MethPipe, a pipeline for both low and high-level methylome analysis, and MethBase, an accompanying database of annotated methylomes from the public domain. Together these resources enable researchers to extract interesting features from methylomes and compare them with those identified in public methylomes in our database.

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