methylC Track: visual integration of single-base resolution DNA methylation data on the WashU EpiGenome Browser
Author(s) -
Xin Zhou,
Daofeng Li,
Rebecca F. Lowdon,
J Costello,
Ting Wang
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu191
Subject(s) - genome browser , epigenome , epigenomics , dna methylation , bisulfite sequencing , context (archaeology) , computational biology , computer science , genome , illumina methylation assay , biology , genetics , genomics , gene , paleontology , gene expression
We present methylC track, an efficient mechanism for visualizing single-base resolution DNA methylation data on a genome browser. The methylC track dynamically integrates the level of methylation, the position and context of the methylated cytosine (i.e. CG, CHG and CHH), strand and confidence level (e.g. read coverage depth in the case of whole-genome bisulfite sequencing data). Investigators can access and integrate these information visually at specific locus or at the genome-wide level on the WashU EpiGenome Browser in the context of other rich epigenomic datasets.
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