ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline

2016144 citationsJournal Articlegold Open Access

Authors

Qian Qin · Shanghai Pulmonary Hospital

Shenglin Mei · Tongji University

Qiu Wu · Tongji University

Hanfei Sun · Tongji University

Lewyn Li · Dana-Farber Cancer Institute

Len Taing · Dana-Farber Cancer Institute

Sujun Chen · Shanghai Pulmonary Hospital

Abstract

ChiLin is a scalable and powerful tool to process large batches of ChIP-seq and DNase-seq datasets. The analysis output and quality metrics have been structured into user-friendly directories and reports. We have successfully compiled 23,677 profiles into a comprehensive quality atlas with fine classification for users.

Topics & Keywords

Molecular Biology Techniques and Applications Gene expression and cancer classification Genomics and Phylogenetic Studies

UN Sustainable Development Goals

Industry, innovation and infrastructure

Publication Details

Published in: BMC Bioinformatics

Volume 17, Issue 1, pp. 404-404

DOI: 10.1186/s12859-016-1274-4

Field-Weighted Citation Impact: 7.48