QChIPat: A quantitative method to identify distinct binding patterns for two biological ChIP-seq samples in different experimental conditions

BMC Genomics

Volumn 14, Issue SUPP 8, 2013, Pages

  Liu, Bin ^a,b,c   Yi, Jimmy ^a   SV, Aishwarya ^a   Lan, Xun ^a   Ma, Yilin ^a   Huang, Tim H M ^d   Leone, Gustavo ^e   Jin, Victor X ^d  

^a OHIO STATE UNIVERSITY   (United States)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c Shanghai Key Laboratory of Intelligent Information Processing   (China)

^d UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^e OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HISTONE; HISTONE H3;

ARTICLE; BAYES THEOREM; BINDING AFFINITY; BINDING SITE; CELL LINE; CELL STRAIN MCF 10A; CELL STRAIN MCF 7; CELL STRAIN PANC1; CHROMATIN IMMUNOPRECIPITATION; COMPUTER PROGRAM; CONTROLLED STUDY; EXPERIMENTAL STUDY; GENETIC TRANSFECTION; HISTONE METHYLATION; HISTONE MODIFICATION; HUMAN; HUMAN CELL; NONPARAMETRIC TEST; QUANTITATIVE ANALYSIS;

ALGORITHMS; BAYES THEOREM; CELL LINE; CHROMATIN IMMUNOPRECIPITATION; COMPUTATIONAL BIOLOGY; HISTONES; HUMANS; MARKOV CHAINS; MCF-7 CELLS; MODELS, STATISTICAL; SEQUENCE ANALYSIS, DNA; SOFTWARE; TRANSCRIPTION FACTOR 7-LIKE 2 PROTEIN;

EID: 84889687271     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-14-S8-S3     Document Type: Article

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