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COPAR: A ChIP-Seq Optimal Peak Analyzer
Joint Authors
Tang, Binhua
Wang, Xihan
Jin, Victor X.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-05
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Abstract 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.
American Psychological Association (APA)
Tang, Binhua& Wang, Xihan& Jin, Victor X.. 2017. COPAR: A ChIP-Seq Optimal Peak Analyzer. BioMed Research International،Vol. 2017, no. 2017, pp.1-4.
https://search.emarefa.net/detail/BIM-1137579
Modern Language Association (MLA)
Tang, Binhua…[et al.]. COPAR: A ChIP-Seq Optimal Peak Analyzer. BioMed Research International No. 2017 (2017), pp.1-4.
https://search.emarefa.net/detail/BIM-1137579
American Medical Association (AMA)
Tang, Binhua& Wang, Xihan& Jin, Victor X.. COPAR: A ChIP-Seq Optimal Peak Analyzer. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-4.
https://search.emarefa.net/detail/BIM-1137579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1137579