DiffChIPL: a differential peak analysis method for high-throughput sequencing data with biological replicates based on limma
Author(s) -
Yang Chen,
Shue Chen,
Elissa P. Lei
Publication year - 2022
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/btac498
Subject(s) - throughput , differential (mechanical device) , computer science , computational biology , biology , data mining , engineering , telecommunications , wireless , aerospace engineering
ChIP-seq detects protein-DNA interactions within chromatin, such as that of chromatin structural components and transcription machinery. ChIP-seq profiles are often noisy and variable across replicates, posing a challenge to the development of effective algorithms to accurately detect differential peaks. Methods have recently been designed for this purpose but sometimes yield conflicting results that are inconsistent with the underlying biology. Most existing algorithms perform well on limited datasets. To improve differential analysis of ChIP-seq, we present a novel Differential analysis method for ChIP-seq based on Limma (DiffChIPL).
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