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MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

The ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, M...

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Detalles Bibliográficos
Autores principales: Chen, Yiwen, Meyer, Clifford A, Liu, Tao, Li, Wei, Liu, Jun S, Liu, Xiaole Shirley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3188793/
https://www.ncbi.nlm.nih.gov/pubmed/21284836
http://dx.doi.org/10.1186/gb-2011-12-2-r11
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author Chen, Yiwen
Meyer, Clifford A
Liu, Tao
Li, Wei
Liu, Jun S
Liu, Xiaole Shirley
author_facet Chen, Yiwen
Meyer, Clifford A
Liu, Tao
Li, Wei
Liu, Jun S
Liu, Xiaole Shirley
author_sort Chen, Yiwen
collection PubMed
description The ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, MM-ChIP, which integrates information from cross-platform and between-laboratory ChIP-chip or ChIP-seq datasets. It improves both the sensitivity and the specificity of detecting ChIP-enriched regions, and is a useful meta-analysis tool for driving discoveries from multiple data sources.
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spelling pubmed-31887932011-10-07 MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data Chen, Yiwen Meyer, Clifford A Liu, Tao Li, Wei Liu, Jun S Liu, Xiaole Shirley Genome Biol Method The ChIP-chip and ChIP-seq techniques enable genome-wide mapping of in vivo protein-DNA interactions and chromatin states. The cross-platform and between-laboratory variation poses a challenge to the comparison and integration of results from different ChIP experiments. We describe a novel method, MM-ChIP, which integrates information from cross-platform and between-laboratory ChIP-chip or ChIP-seq datasets. It improves both the sensitivity and the specificity of detecting ChIP-enriched regions, and is a useful meta-analysis tool for driving discoveries from multiple data sources. BioMed Central 2011 2011-02-01 /pmc/articles/PMC3188793/ /pubmed/21284836 http://dx.doi.org/10.1186/gb-2011-12-2-r11 Text en Copyright ©2011 Chen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Chen, Yiwen
Meyer, Clifford A
Liu, Tao
Li, Wei
Liu, Jun S
Liu, Xiaole Shirley
MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title_full MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title_fullStr MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title_full_unstemmed MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title_short MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data
title_sort mm-chip enables integrative analysis of cross-platform and between-laboratory chip-chip or chip-seq data
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3188793/
https://www.ncbi.nlm.nih.gov/pubmed/21284836
http://dx.doi.org/10.1186/gb-2011-12-2-r11
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