Unknown

Dataset Information

0

A reference methylome database and analysis pipeline to facilitate integrative and comparative epigenomics.


ABSTRACT: 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.

SUBMITTER: Song Q 

PROVIDER: S-EPMC3855694 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

A reference methylome database and analysis pipeline to facilitate integrative and comparative epigenomics.

Song Qiang Q   Decato Benjamin B   Hong Elizabeth E EE   Zhou Meng M   Fang Fang F   Qu Jianghan J   Garvin Tyler T   Kessler Michael M   Zhou Jun J   Smith Andrew D AD  

PloS one 20131206 12


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, reli  ...[more]

Similar Datasets

| S-EPMC2775544 | biostudies-literature
| S-EPMC7334202 | biostudies-literature
2015-05-01 | GSE58431 | GEO
| S-EPMC4563837 | biostudies-literature
| S-EPMC6651137 | biostudies-literature
| S-EPMC9455975 | biostudies-literature
| S-EPMC4530010 | biostudies-literature
2015-05-01 | E-GEOD-58431 | biostudies-arrayexpress
| S-EPMC7875769 | biostudies-literature
| S-EPMC7297091 | biostudies-literature