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

被引：35

作者：

Bock, Christoph ^{[1
]}

Halachev, Konstantin ^{[1
]}

Buech, Joachim ^{[1
]}

Lengauer, Thomas ^{[1
]}

机构：

[1] Max Planck Inst Informat, D-66123 Saarbrucken, Germany

来源：

GENOME BIOLOGY | 2009年 / 10卷 / 02期

关键词：

X-CHROMOSOME INACTIVATION; METHYLATION STATUS; IMPRINTED GENES; DNA METHYLATION; HUMAN GENOME; SEQUENCE; ELEMENTS; TOOL; RESOLUTION; WORKFLOWS;

D O I：

10.1186/gb-2009-10-2-r14

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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.

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页数：14

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