Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

Background: Histone modification constitutes a basic mechanism for the genetic regulation of gene expression. In early 2000s, a powerful technique has emerged that couples chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq). This technique provides a direct survey of the DNA reg...

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Bibliographic Details
Main Authors:	Hocking, T.D (Author), Liehrmann, A. (Author), Rigaill, G. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	algorithm Algorithms Change point detection ChIP-seq chromatin immunoprecipitation Chromatin immunoprecipitation Chromatin Immunoprecipitation Chromatin Immunoprecipitation Sequencing DNA sequence Gene expression high throughput sequencing High-Throughput Nucleotide Sequencing High-throughput sequencing Histone modification Histone modifications Likelihood inference Multiple changepoint detection Over-dispersion Peak calling Penalty parameters Poisson distribution Segmentation models Sequence Analysis, DNA Statistical algorithm Supervised learning Supervised segmentation
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Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models

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