Imrichová Hana, Hulselmans Gert, Atak Zeynep Kalender, Potier Delphine, Aerts Stein
Laboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium.
Laboratory of Computational Biology, Center for Human Genetics, University of Leuven, 3000 Leuven, Belgium
Nucleic Acids Res. 2015 Jul 1;43(W1):W57-64. doi: 10.1093/nar/gkv395. Epub 2015 Apr 29.
i-cisTarget is a web tool to predict regulators of a set of genomic regions, such as ChIP-seq peaks or co-regulated/similar enhancers. i-cisTarget can also be used to identify upstream regulators and their target enhancers starting from a set of co-expressed genes. Whereas the original version of i-cisTarget was focused on Drosophila data, the 2015 update also provides support for human and mouse data. i-cisTarget detects transcription factor motifs (position weight matrices) and experimental data tracks (e.g. from ENCODE, Roadmap Epigenomics) that are enriched in the input set of regions. As experimental data tracks we include transcription factor ChIP-seq data, histone modification ChIP-seq data and open chromatin data. The underlying processing method is based on a ranking-and-recovery procedure, allowing accurate determination of enrichment across heterogeneous datasets, while also discriminating direct from indirect target regions through a 'leading edge' analysis. We illustrate i-cisTarget on various Ewing sarcoma datasets to identify EWS-FLI1 targets starting from ChIP-seq, differential ATAC-seq, differential H3K27ac and differential gene expression data. Use of i-cisTarget is free and open to all, and there is no login requirement. Address: http://gbiomed.kuleuven.be/apps/lcb/i-cisTarget.
i-cisTarget是一个用于预测一组基因组区域调控因子的网络工具,这些基因组区域如ChIP-seq峰或共同调控/相似的增强子。i-cisTarget也可用于从一组共表达基因出发,识别上游调控因子及其靶增强子。i-cisTarget的原始版本专注于果蝇数据,而2015年的更新版本也支持人类和小鼠数据。i-cisTarget检测在输入的区域集中富集的转录因子基序(位置权重矩阵)和实验数据轨迹(例如来自ENCODE、表观基因组路线图)。作为实验数据轨迹,我们包括转录因子ChIP-seq数据、组蛋白修饰ChIP-seq数据和开放染色质数据。其底层处理方法基于一种排序和恢复程序,能够准确确定跨异构数据集是否富集,同时还能通过“前沿”分析区分直接和间接靶区域。我们在各种尤因肉瘤数据集上展示i-cisTarget,以从ChIP-seq、差异ATAC-seq、差异H3K27ac和差异基因表达数据出发识别EWS-FLI1靶标。i-cisTarget免费向所有人开放使用,无需登录。网址:http://gbiomed.kuleuven.be/apps/lcb/i-cisTarget 。