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A signal–noise model for significance analysis of ChIP-seq with negative control
Author(s) -
Xu Han,
Lusy Handoko,
Xueliang Wei,
Chaopeng Ye,
Jianpeng Sheng,
ChiaLin Wei,
Feng Lin,
WingKin Sung
Publication year - 2010
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btq128
Subject(s) - computer science , chip , h3k4me3 , noise (video) , false discovery rate , data mining , machine learning , artificial intelligence , biology , genetics , telecommunications , gene , gene expression , promoter , image (mathematics)
ChIP-seq is becoming the main approach to the genome-wide study of protein-DNA interactions and histone modifications. Existing informatics tools perform well to extract strong ChIP-enriched sites. However, two questions remain to be answered: (i) to which extent is a ChIP-seq experiment able to reveal the weak ChIP-enriched sites? (ii) are the weak sites biologically meaningful? To answer these questions, it is necessary to identify the weak ChIP signals from background noise.

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