A clustering approach for identification of enriched domains from histone modification ChIP-Seq data

Bioinformatics

Volumn 25, Issue 15, 2009, Pages 1952-1958

  Zang, Chongzhi ^a   Schones, Dustin E ^b   Zeng, Chen ^a   Cui, Kairong ^b   Zhao, Keji ^b   Peng, Weiqun ^a  

^a GEORGE WASHINGTON UNIVERSITY   (United States)

^b NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HISTONE; HISTONE H3;

ANIMAL CELL; ARTICLE; CD4+ T LYMPHOCYTE; CELL TYPE; CHROMATIN IMMUNOPRECIPITATION; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; EMBRYO; EMBRYONIC STEM CELL; EPIGENETICS; GENOMICS; HUMAN; HUMAN CELL; MOUSE; NONHUMAN; NUCLEOSOME; PRIORITY JOURNAL; PROTEIN DOMAIN; PROTEIN MODIFICATION; REAL TIME POLYMERASE CHAIN REACTION; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS; STRUCTURAL BIOINFORMATICS;

CHROMATIN IMMUNOPRECIPITATION; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENOME; HISTONES; PROTEIN STRUCTURE, TERTIARY; SEQUENCE ANALYSIS, DNA;

EID: 67650711619     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp340     Document Type: Article

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