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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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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. |
format | Online Article Text |
id | pubmed-3188793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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