De novo detection of differentially bound regions for ChIP-seq data using peaks and windows: Controlling error rates correctly

Nucleic Acids Research

Volumn 42, Issue 11, 2014, Pages

  Lun, Aaron T L ^a,b   Smyth, Gordon K ^a,b  

^a WALTER AND ELIZA HALL INSTITUTE OF MEDICAL RESEARCH   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

HISTONE; TRANSCRIPTION FACTOR;

ANALYTIC METHOD; ANALYTICAL ERROR; ANIMAL CELL; ARTICLE; BINDING ASSAY; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; COMPUTER SIMULATION; CONTROLLED STUDY; EMBRYONIC STEM CELL; FEMALE; INFORMATION PROCESSING; LIVER; MALE; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; MOUSE; NONHUMAN; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; SIMES METHOD; THYMUS;

BINDING SITES; CHROMATIN IMMUNOPRECIPITATION; DNA-BINDING PROTEINS; HISTONES; SEQUENCE ANALYSIS, DNA; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 84903210850     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gku351     Document Type: Article

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