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ChIPseek, a web-based analysis tool for ChIP data

BACKGROUND: Chromatin is a dynamic but highly regulated structure. DNA-binding proteins such as transcription factors, epigenetic and chromatin modifiers are responsible for regulating specific gene expression pattern and may result in different phenotypes. To reveal the identity of the proteins ass...

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Autores principales: Chen, Ting-Wen, Li, Hsin-Pai, Lee, Chi-Ching, Gan, Ruei-Chi, Huang, Po-Jung, Wu, Timothy H, Lee, Cheng-Yang, Chang, Yi-Feng, Tang, Petrus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092222/
https://www.ncbi.nlm.nih.gov/pubmed/24974934
http://dx.doi.org/10.1186/1471-2164-15-539
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author Chen, Ting-Wen
Li, Hsin-Pai
Lee, Chi-Ching
Gan, Ruei-Chi
Huang, Po-Jung
Wu, Timothy H
Lee, Cheng-Yang
Chang, Yi-Feng
Tang, Petrus
author_facet Chen, Ting-Wen
Li, Hsin-Pai
Lee, Chi-Ching
Gan, Ruei-Chi
Huang, Po-Jung
Wu, Timothy H
Lee, Cheng-Yang
Chang, Yi-Feng
Tang, Petrus
author_sort Chen, Ting-Wen
collection PubMed
description BACKGROUND: Chromatin is a dynamic but highly regulated structure. DNA-binding proteins such as transcription factors, epigenetic and chromatin modifiers are responsible for regulating specific gene expression pattern and may result in different phenotypes. To reveal the identity of the proteins associated with the specific region on DNA, chromatin immunoprecipitation (ChIP) is the most widely used technique. ChIP assay followed by next generation sequencing (ChIP-seq) or microarray (ChIP-chip) is often used to study patterns of protein-binding profiles in different cell types and in cancer samples on a genome-wide scale. However, only a limited number of bioinformatics tools are available for ChIP datasets analysis. RESULTS: We present ChIPseek, a web-based tool for ChIP data analysis providing summary statistics in graphs and offering several commonly demanded analyses. ChIPseek can provide statistical summary of the dataset including histogram of peak length distribution, histogram of distances to the nearest transcription start site (TSS), and pie chart (or bar chart) of genomic locations for users to have a comprehensive view on the dataset for further analysis. For examining the potential functions of peaks, ChIPseek provides peak annotation, visualization of peak genomic location, motif identification, sequence extraction, and comparison between datasets. Beyond that, ChIPseek also offers users the flexibility to filter peaks and re-analyze the filtered subset of peaks. ChIPseek supports 20 different genome assemblies for 12 model organisms including human, mouse, rat, worm, fly, frog, zebrafish, chicken, yeast, fission yeast, Arabidopsis, and rice. We use demo datasets to demonstrate the usage and intuitive user interface of ChIPseek. CONCLUSIONS: ChIPseek provides a user-friendly interface for biologists to analyze large-scale ChIP data without requiring any programing skills. All the results and figures produced by ChIPseek can be downloaded for further analysis. The analysis tools built into ChIPseek, especially the ones for selecting and examine a subset of peaks from ChIP data, provides invaluable helps for exploring the high through-put data from either ChIP-seq or ChIP-chip. ChIPseek is freely available at http://chipseek.cgu.edu.tw.
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spelling pubmed-40922222014-07-21 ChIPseek, a web-based analysis tool for ChIP data Chen, Ting-Wen Li, Hsin-Pai Lee, Chi-Ching Gan, Ruei-Chi Huang, Po-Jung Wu, Timothy H Lee, Cheng-Yang Chang, Yi-Feng Tang, Petrus BMC Genomics Software BACKGROUND: Chromatin is a dynamic but highly regulated structure. DNA-binding proteins such as transcription factors, epigenetic and chromatin modifiers are responsible for regulating specific gene expression pattern and may result in different phenotypes. To reveal the identity of the proteins associated with the specific region on DNA, chromatin immunoprecipitation (ChIP) is the most widely used technique. ChIP assay followed by next generation sequencing (ChIP-seq) or microarray (ChIP-chip) is often used to study patterns of protein-binding profiles in different cell types and in cancer samples on a genome-wide scale. However, only a limited number of bioinformatics tools are available for ChIP datasets analysis. RESULTS: We present ChIPseek, a web-based tool for ChIP data analysis providing summary statistics in graphs and offering several commonly demanded analyses. ChIPseek can provide statistical summary of the dataset including histogram of peak length distribution, histogram of distances to the nearest transcription start site (TSS), and pie chart (or bar chart) of genomic locations for users to have a comprehensive view on the dataset for further analysis. For examining the potential functions of peaks, ChIPseek provides peak annotation, visualization of peak genomic location, motif identification, sequence extraction, and comparison between datasets. Beyond that, ChIPseek also offers users the flexibility to filter peaks and re-analyze the filtered subset of peaks. ChIPseek supports 20 different genome assemblies for 12 model organisms including human, mouse, rat, worm, fly, frog, zebrafish, chicken, yeast, fission yeast, Arabidopsis, and rice. We use demo datasets to demonstrate the usage and intuitive user interface of ChIPseek. CONCLUSIONS: ChIPseek provides a user-friendly interface for biologists to analyze large-scale ChIP data without requiring any programing skills. All the results and figures produced by ChIPseek can be downloaded for further analysis. The analysis tools built into ChIPseek, especially the ones for selecting and examine a subset of peaks from ChIP data, provides invaluable helps for exploring the high through-put data from either ChIP-seq or ChIP-chip. ChIPseek is freely available at http://chipseek.cgu.edu.tw. BioMed Central 2014-06-30 /pmc/articles/PMC4092222/ /pubmed/24974934 http://dx.doi.org/10.1186/1471-2164-15-539 Text en © Chen et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Chen, Ting-Wen
Li, Hsin-Pai
Lee, Chi-Ching
Gan, Ruei-Chi
Huang, Po-Jung
Wu, Timothy H
Lee, Cheng-Yang
Chang, Yi-Feng
Tang, Petrus
ChIPseek, a web-based analysis tool for ChIP data
title ChIPseek, a web-based analysis tool for ChIP data
title_full ChIPseek, a web-based analysis tool for ChIP data
title_fullStr ChIPseek, a web-based analysis tool for ChIP data
title_full_unstemmed ChIPseek, a web-based analysis tool for ChIP data
title_short ChIPseek, a web-based analysis tool for ChIP data
title_sort chipseek, a web-based analysis tool for chip data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092222/
https://www.ncbi.nlm.nih.gov/pubmed/24974934
http://dx.doi.org/10.1186/1471-2164-15-539
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