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Cistrome Data Browser and Toolkit: analyzing human and mouse genomic data using compendia of ChIP-seq and chromatin accessibility data

Authors :
Xin Dong
Clifford A. Meyer
Changxin Wan
Xiaoyan Zhang
Xiaoying Shi
Rongbin Zheng
Source :
Quantitative Biology. 8:267-276
Publication Year :
2020
Publisher :
Engineering Sciences Press, 2020.

Abstract

The Cistrome Data Browser (DB) at the website (cistrome.org/db) provides about 56,000 published human and mouse ChIP-seq, DNase-seq, and ATAC-seq chromatin profiles, which we have processed using uniform analysis and quality control pipelines. The Cistrome DB Toolkit at the website (dbtoolkit.cistrome.org) was developed to allow users to investigate fundamental questions using this data collection. In this tutorial, we describe how to use the Cistrome DB to search for publicly available chromatin profiles, to assess sample quality, to access peak results, to visualize signal intensities, to explore DNA sequence motifs, and to identify putative target genes. We also describe the use of the Toolkit module to seek the factors most likely to regulate a gene of interest, the factors that bind to a given genomic interval (enhancer, SNP, etc.), and samples that have significant peak overlaps with user-defined peak sets. This tutorial guides biomedical researchers in the use of Cistrome DB resources to rapidly obtain valuable insights into gene regulatory questions

Details

ISSN :
20954697 and 20954689
Volume :
8
Database :
OpenAIRE
Journal :
Quantitative Biology
Accession number :
edsair.doi...........a039c410b473e38d6c3652438c432734
Full Text :
https://doi.org/10.1007/s40484-020-0204-7