標題: ChIPseek, a web-based analysis tool for ChIP data
作者: 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
生物科技學系
Department of Biological Science and Technology
關鍵字: ChIP-seq;ChIP-chip;Analysis tool;Web-services;Peak annotation;Motif identification;Filter tools;Comparison
公開日期: 30-Jun-2014
摘要: 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.
URI: http://dx.doi.org/10.1186/1471-2164-15-539
http://hdl.handle.net/11536/24631
ISSN: 1471-2164
DOI: 10.1186/1471-2164-15-539
期刊: BMC GENOMICS
Volume: 15
Issue: 
結束頁: 
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