Skip to main navigation Skip to search Skip to main content

Cistrome Data Browser: A data portal for ChIP-Seq and chromatin accessibility data in human and mouse

  • Shenglin Mei
  • , Qian Qin
  • , Qiu Wu
  • , Hanfei Sun
  • , Rongbin Zheng
  • , Chongzhi Zang
  • , Muyuan Zhu
  • , Jiaxin Wu
  • , Xiaohui Shi
  • , Len Taing
  • , Tao Liu
  • , Myles Brown
  • , Clifford A. Meyer
  • , X. Shirley Liu
  • Tongji University
  • Harvard University
  • Dana-Farber Cancer Institute
  • Tsinghua University

Research output: Contribution to journalArticlepeer-review

429 Scopus citations

Abstract

Chromatin immunoprecipitation, DNase I hypersensitivity and transposase-accessibility assays combined with high-throughput sequencing enable the genome-wide study of chromatin dynamics, transcription factor binding and gene regulation. Although rapidly accumulating publicly available ChIPseq, DNase-seq and ATAC-seq data are a valuable resource for the systematic investigation of gene regulation processes, a lack of standardized curation, quality control and analysis procedures have hindered extensive reuse of these data. To overcome this challenge, we built the Cistrome database, a collection of ChIP-seq and chromatin accessibility data (DNase-seq and ATAC-seq) published before January 1, 2016, including 13 366 human and 9953 mouse samples. All the data have been carefully curated and processed with a streamlined analysis pipeline and evaluated with comprehensive quality control metrics. We have also created a user-friendly web server for data query, exploration and visualization. The resulting Cistrome DB (Cistrome Data Browser), available online at http://cistrome.org/db, is expected to become a valuable resource for transcriptional and epigenetic regulation studies.

Original languageEnglish
Pages (from-to)D658-D662
JournalNucleic Acids Research
Volume45
Issue numberD1
DOIs
StatePublished - Jan 1 2017

Fingerprint

Dive into the research topics of 'Cistrome Data Browser: A data portal for ChIP-Seq and chromatin accessibility data in human and mouse'. Together they form a unique fingerprint.

Cite this