CHANCE: comprehensive software for quality control and validation of ChIP-seq data

被引：0
|
作者：
Aaron Diaz
Abhinav Nellore
Jun S Song
机构：
[1] UCSF,Institute for Human Genetics
[2] UCSF,The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research
[3] UCSF,Department of Epidemiology and Biostatistics
[4] UCSF,Department of Bioengineering and Therapeutic Sciences
来源：
Genome Biology | / 13卷
关键词：
Input Channel; Histone Mark; Read Density; Divergence Test Statistic; Differential Enrichment;
D O I：
暂无
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摘要：
ChIP-seq is a powerful method for obtaining genome-wide maps of protein-DNA interactions and epigenetic modifications. CHANCE (CHip-seq ANalytics and Confidence Estimation) is a standalone package for ChIP-seq quality control and protocol optimization. Our user-friendly graphical software quickly estimates the strength and quality of immunoprecipitations, identifies biases, compares the user's data with ENCODE's large collection of published datasets, performs multi-sample normalization, checks against quantitative PCR-validated control regions, and produces informative graphical reports. CHANCE is available at https://github.com/songlab/chance.
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