| Literature DB >> 19208250 |
Christoph Bock1, Konstantin Halachev, Joachim Büch, Thomas Lengauer.
Abstract
The EpiGRAPH web service http://epigraph.mpi-inf.mpg.de/ enables biologists to uncover hidden associations in vertebrate genome and epigenome datasets. Users can upload sets of genomic regions and EpiGRAPH will test multiple attributes (including DNA sequence, chromatin structure, epigenetic modifications and evolutionary conservation) for enrichment or depletion among these regions. Furthermore, EpiGRAPH learns to predictively identify similar genomic regions. This paper demonstrates EpiGRAPH's practical utility in a case study on monoallelic gene expression and describes its novel approach to reproducible bioinformatic analysis.Entities:
Mesh:
Year: 2009 PMID: 19208250 PMCID: PMC2688269 DOI: 10.1186/gb-2009-10-2-r14
Source DB: PubMed Journal: Genome Biol ISSN: 1474-7596 Impact factor: 13.583