Open AccessJAMIE: joint analysis of multiple ChIP-chip experiments
Author(s) -
Hao Wu,
Hongkai Ji
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/btq314
Subject(s) - computer science , context (archaeology) , r package , chromatin immunoprecipitation , tiling array , joint (building) , chip , data mining , genome , computational biology , theoretical computer science , biology , gene , dna microarray , genetics , computational science , engineering , architectural engineering , paleontology , telecommunications , gene expression , promoter
Chromatin immunoprecipitation followed by genome tiling array hybridization (ChIP-chip) is a powerful approach to identify transcription factor binding sites (TFBSs) in target genomes. When multiple related ChIP-chip datasets are available, analyzing them jointly allows one to borrow information across datasets to improve peak detection. This is particularly useful for analyzing noisy datasets.
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