EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data

doi:10.1186/gb-2009-10-2-r14

Genome Biology

Volume 10
Issue 2

Viewing options:

Abstract
Full text
PDF (777KB)

Associated material:

PubMed record

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Bock C
Halachev K
Büch J
Lengauer T

on PubMed

Bock C
Halachev K
Büch J
Lengauer T
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Software

EpiGRAPH: user-friendly software for statistical analysis and prediction of (epi)genomic data

Christoph Bock , Konstantin Halachev , Joachim Büch and Thomas Lengauer

Max-Planck-Institut für Informatik, Campus E1.4, 66123 Saarbrücken, Germany

author email corresponding author email

Genome Biology 2009, 10:R14doi:10.1186/gb-2009-10-2-r14


Published:	10 February 2009

Subject areas: Bioinformatics, Genome studies

Abstract

The EpiGRAPH web service http://epigraph.mpi-inf.mpg.de/ webcite 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.