Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

Cistrome Data Browser Cistrome DB


A collection of ChIP-seq and chromatin accessibility data (DNase-seq and ATAC-seq) including 13366 human and 9953 mouse samples. Cistrome DB contains data which have been carefully curated and processed with a streamlined analysis pipeline and evaluated with comprehensive quality control metrics. A user-friendly web server allows data query, exploration and visualization. Cistrome DB provides a manually curated metadata annotation, presents analysis results, including a peak file, a read density file, motif scan results, putative target genes and summaries of the distribution of peaks. It provides comprehensive QC metrics at the read, peak and annotation levels and provides functions to analyze and visualize these samples. Users can directly send data to the Cistrome analysis pipeline (Cistrome AP) or load data to the UCSC and WashU genome browsers for visualization.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.

Cistrome DB forum

tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

Cistrome DB classification

  • Animals
    • Homo sapiens
    • Mus musculus

Cistrome DB specifications

Web user interface
Computer skills:
Restrictions to use:

Cistrome DB distribution

Cistrome DB support


  • Liu Shirley <>

Additional information


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Clinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China; Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST; Department of Automation, Tsinghua University, Beijing, China; Department of Biochemistry, University at Buffalo, Buffalo, NY, USA

Funding source(s)

National Institutes of Health [U01 CA180980]; National Natural Science Foundation of China [31329003]; Campaign Technology Fund of Dana-Farber Cancer Institute.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.