Department of Human Genetics, McGill University, Montreal, QC, Canada and Lady Davis Research Institute, Jewish General Hospital, Montreal, QC, Canada.
Bioinformatics. 2018 Jul 1;34(13):2286-2288. doi: 10.1093/bioinformatics/bty075.
Chromatin state plays a major role in controlling gene expression, and comparative analysis of ChIP-seq data is key to understanding epigenetic regulation. We present chromswitch, an R/Bioconductor package to integrate epigenomic data in a defined window of interest to detect an overall switch in chromatin state. Chromswitch accurately classifies a benchmarking dataset, and when applied genome-wide, the tool successfully detects chromatin changes that result in brain-specific expression.
Chromswitch is implemented as an R package available from Bioconductor at https://bioconductor.org/packages/chromswitch. All data and code for reproducing the analysis presented in this paper are available at https://doi.org/10.5281/zenodo.1101260.
Supplementary data are available at Bioinformatics online.
染色质状态在控制基因表达中起着重要作用,比较分析 ChIP-seq 数据是理解表观遗传调控的关键。我们提出了 chromswitch,这是一个 R/Bioconductor 包,用于在感兴趣的定义窗口中整合组蛋白数据,以检测染色质状态的整体转换。Chromswitch 可以准确地对基准数据集进行分类,并且在全基因组范围内应用时,该工具可以成功检测导致大脑特异性表达的染色质变化。
Chromswitch 作为一个 R 包实现,可从 Bioconductor 获得,网址为 https://bioconductor.org/packages/chromswitch。本文中呈现的分析的所有数据和代码都可在 https://doi.org/10.5281/zenodo.1101260 处获得。
补充数据可在 Bioinformatics 在线获得。