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作 者:Rongbin Zheng Xin Dong Changxin Wan Xiaoying Shi Xiaoyan Zhang Clifford A.Meyer
机构地区:[1]Clin ical Tran slati onal Research Center,Shan ghai Pulmonary Hospital,School of Life Science and Tech no logy,Tbngji University,Shanghai 200433,China [2]Department of Bioinformatics,School of Life Science and Technology,Tongji University,Shanghai 200092,China [3]Department of Data Science,Dana-Farber Cancer Institute and Harvard T.H.Chan School of Public Health,Boston,MA 02215,USA [4]Center for Functional Cancer Epigenetics,Dana-Farber Cancer Institute,Boston,MA 02215,USA
出 处:《Quantitative Biology》2020年第3期267-276,共10页定量生物学(英文版)
基 金:The authors would like to acknowledge Dr.Zhiping Weng for providing the backup of the Cistrome DB and Dr.Ting Wang for the Wash U Epigenome Gateway Browser;This work is supported by National Institutes of Health of US(U24 CA237617).
摘 要:The Cistrome Data Browser(DB)at the website(cistrome.org/db)provides about 56,000 published human and mouse ChlP-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.
关 键 词:ChlP-seq chromatin accessibility gene regulatory analysis transcription factor
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