COPAR: A ChIP-Seq Optimal Peak Analyzer

الملخص EN

Sequencing data quality and peak alignment efficiency of ChIP-sequencing profiles are directly related to the reliability and reproducibility of NGS experiments.

Till now, there is no tool specifically designed for optimal peak alignment estimation and quality-related genomic feature extraction for ChIP-sequencing profiles.

We developed open-sourced COPAR, a user-friendly package, to statistically investigate, quantify, and visualize the optimal peak alignment and inherent genomic features using ChIP-seq data from NGS experiments.

It provides a versatile perspective for biologists to perform quality-check for high-throughput experiments and optimize their experiment design.

The package COPAR can process mapped ChIP-seq read file in BED format and output statistically sound results for multiple high-throughput experiments.

Together with three public ChIP-seq data sets verified with the developed package, we have deposited COPAR on GitHub under a GNU GPL license.