Journal
NUCLEIC ACIDS RESEARCH
Volume 41, Issue 16, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkt599
Keywords
-
Categories
Funding
- Novartis Research Foundation
- Institutional funds of the Friedrich Miescher Insitute for Biomedical Research
- Swiss initiative in Systems Biology (Cell Plasticity)
Ask authors/readers for more resources
We have recently shown that transcription factor binding leads to defined reduction in DNA methylation, allowing for the identification of active regulatory regions from high-resolution methylomes. Here, we present MethylSeekR, a computational tool to accurately identify such footprints from bisulfite-sequencing data. Applying our method to a large number of published human methylomes, we demonstrate its broad applicability and generalize our previous findings from a neuronal differentiation system to many cell types and tissues. MethylSeekR is available as an R package at www.bioconductor.org.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available