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W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data
Summary: ChIP-based technology is becoming the leading technology to globally profile thousands of transcription factors and elucidate the transcriptional regulation mechanisms in living cells. It has evolved rapidly in recent years, from hybridization with spotted or tiling microarray (ChIP-chip),...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031039/ https://www.ncbi.nlm.nih.gov/pubmed/21138948 http://dx.doi.org/10.1093/bioinformatics/btq669 |
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author | Lan, Xun Bonneville, Russell Apostolos, Jeff Wu, Wangcheng Jin, Victor X |
author_facet | Lan, Xun Bonneville, Russell Apostolos, Jeff Wu, Wangcheng Jin, Victor X |
author_sort | Lan, Xun |
collection | PubMed |
description | Summary: ChIP-based technology is becoming the leading technology to globally profile thousands of transcription factors and elucidate the transcriptional regulation mechanisms in living cells. It has evolved rapidly in recent years, from hybridization with spotted or tiling microarray (ChIP-chip), to pair-end tag sequencing (ChIP-PET), to current massively parallel sequencing (ChIP-seq). Although there are many tools available for identifying binding sites (peaks) for ChIP-chip and ChIP-seq, few of them are available as easy-accessible online web tools for processing both ChIP-chip and ChIP-seq data for the ChIP-based user community. As such, we have developed a comprehensive web application tool for processing ChIP-chip and ChIP-seq data. Our web tool W-ChIPeaks employed a probe-based (or bin-based) enrichment threshold to define peaks and applied statistical methods to control false discovery rate for identified peaks. The web tool includes two different web interfaces: PELT for ChIP-chip, BELT for ChIP-seq, where both were tested on previously published experimental data. The novel features of our tool include a comprehensive output for identified peaks with GFF, BED, bedGraph and .wig formats, annotated genes to which these peaks are related, a graphical interpretation and visualization of the results via a user-friendly web interface. Availability: http://motif.bmi.ohio-state.edu/W-ChIPeaks/. Contact: victor.jin@osumc.edu Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Text |
id | pubmed-3031039 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30310392011-02-02 W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data Lan, Xun Bonneville, Russell Apostolos, Jeff Wu, Wangcheng Jin, Victor X Bioinformatics Applications Note Summary: ChIP-based technology is becoming the leading technology to globally profile thousands of transcription factors and elucidate the transcriptional regulation mechanisms in living cells. It has evolved rapidly in recent years, from hybridization with spotted or tiling microarray (ChIP-chip), to pair-end tag sequencing (ChIP-PET), to current massively parallel sequencing (ChIP-seq). Although there are many tools available for identifying binding sites (peaks) for ChIP-chip and ChIP-seq, few of them are available as easy-accessible online web tools for processing both ChIP-chip and ChIP-seq data for the ChIP-based user community. As such, we have developed a comprehensive web application tool for processing ChIP-chip and ChIP-seq data. Our web tool W-ChIPeaks employed a probe-based (or bin-based) enrichment threshold to define peaks and applied statistical methods to control false discovery rate for identified peaks. The web tool includes two different web interfaces: PELT for ChIP-chip, BELT for ChIP-seq, where both were tested on previously published experimental data. The novel features of our tool include a comprehensive output for identified peaks with GFF, BED, bedGraph and .wig formats, annotated genes to which these peaks are related, a graphical interpretation and visualization of the results via a user-friendly web interface. Availability: http://motif.bmi.ohio-state.edu/W-ChIPeaks/. Contact: victor.jin@osumc.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-02-01 2010-12-07 /pmc/articles/PMC3031039/ /pubmed/21138948 http://dx.doi.org/10.1093/bioinformatics/btq669 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Lan, Xun Bonneville, Russell Apostolos, Jeff Wu, Wangcheng Jin, Victor X W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title | W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title_full | W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title_fullStr | W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title_full_unstemmed | W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title_short | W-ChIPeaks: a comprehensive web application tool for processing ChIP-chip and ChIP-seq data |
title_sort | w-chipeaks: a comprehensive web application tool for processing chip-chip and chip-seq data |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3031039/ https://www.ncbi.nlm.nih.gov/pubmed/21138948 http://dx.doi.org/10.1093/bioinformatics/btq669 |
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