EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data
Open Access
- 1 January 2009
- journal article
- Published by Springer Science and Business Media LLC in Genome Biology
- Vol. 10 (2), R14-14
- https://doi.org/10.1186/gb-2009-10-2-r14
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.This publication has 47 references indexed in Scilit:
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