DeepBlueR: large-scale epigenomic analysis in R

被引：5

作者：

Albrecht, Felipe ^{[1
,2
]}

List, Markus ^{[1
]}

Bock, Christoph ^{[1
,3
,4
]}

Lengauer, Thomas ^{[1
]}

机构：

[1] Max Planck Inst Informat, Saarbrucken, Germany

[2] Grad Sch Comp Sci, Saarland Informat Campus, D-66123 Saarbrucken, Germany

[3] Austrian Acad Sci, CeMM Res Ctr Mol Med, Vienna, Austria

[4] Med Univ Vienna, Dept Lab Med, A-1090 Vienna, Austria

来源：

BIOINFORMATICS | 2017年 / 33卷 / 13期

关键词：

BLUEPRINT; CONSORTIUM;

D O I：

10.1093/bioinformatics/btx099

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: While large amounts of epigenomic data are publicly available, their retrieval in a form suitable for downstream analysis is a bottleneck in current research. The DeepBlue Epigenomic Data Server provides a powerful interface and API for filtering, transforming, aggregating and downloading data from several epigenomic consortia. Results: To make public epigenomic data conveniently available for analysis in R, we developed an R/ Bioconductor package that connects to the DeepBlue Epigenomic Data Server, enabling users to quickly gather and transform epigenomic data from selected experiments for analysis in the Bioconductor ecosystem.

引用

页码：2063 / 2064

页数：2

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