Max-Planck-Institut für Informatik, Campus E1.4, 66123 Saarbrücken, Germany.
Genome Biol. 2009 Feb 10;10(2):R14. doi: 10.1186/gb-2009-10-2-r14.
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.
EpiGRAPH 网络服务 http://epigraph.mpi-inf.mpg.de/ 使生物学家能够发现脊椎动物基因组和表观基因组数据集中隐藏的关联。用户可以上传基因组区域集,EpiGRAPH 将测试这些区域的多种属性(包括 DNA 序列、染色质结构、表观遗传修饰和进化保守性)是否存在富集或缺失。此外,EpiGRAPH 还可以学习预测性地识别相似的基因组区域。本文通过单等位基因表达的案例研究展示了 EpiGRAPH 的实际用途,并描述了其在可重复生物信息学分析方面的新方法。