Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA 02215, USA.
Genome Biol. 2011 Aug 22;12(8):R83. doi: 10.1186/gb-2011-12-8-r83.
The increasing volume of ChIP-chip and ChIP-seq data being generated creates a challenge for standard, integrative and reproducible bioinformatics data analysis platforms. We developed a web-based application called Cistrome, based on the Galaxy open source framework. In addition to the standard Galaxy functions, Cistrome has 29 ChIP-chip- and ChIP-seq-specific tools in three major categories, from preliminary peak calling and correlation analyses to downstream genome feature association, gene expression analyses, and motif discovery. Cistrome is available at http://cistrome.org/ap/.
越来越多的 ChIP-chip 和 ChIP-seq 数据的产生给标准的、综合的和可重复的生物信息学数据分析平台带来了挑战。我们基于 Galaxy 开源框架开发了一个名为 Cistrome 的基于网络的应用程序。除了标准的 Galaxy 功能外,Cistrome 在三个主要类别中有 29 个 ChIP-chip 和 ChIP-seq 特定的工具,从初步的峰调用和相关分析到下游的基因组特征关联、基因表达分析和基序发现。Cistrome 可在 http://cistrome.org/ap/ 获得。