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dc.contributor.authorChen, Ting-Wenen_US
dc.contributor.authorLi, Hsin-Paien_US
dc.contributor.authorLee, Chi-Chingen_US
dc.contributor.authorGan, Ruei-Chien_US
dc.contributor.authorHuang, Po-Jungen_US
dc.contributor.authorWu, Timothy H.en_US
dc.contributor.authorLee, Cheng-Yangen_US
dc.contributor.authorChang, Yi-Fengen_US
dc.contributor.authorTang, Petrusen_US
dc.date.accessioned2014-12-08T15:36:18Z-
dc.date.available2014-12-08T15:36:18Z-
dc.date.issued2014-06-30en_US
dc.identifier.issn1471-2164en_US
dc.identifier.urihttp://dx.doi.org/10.1186/1471-2164-15-539en_US
dc.identifier.urihttp://hdl.handle.net/11536/24631-
dc.description.abstractBackground: 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.en_US
dc.language.isoen_USen_US
dc.subjectChIP-seqen_US
dc.subjectChIP-chipen_US
dc.subjectAnalysis toolen_US
dc.subjectWeb-servicesen_US
dc.subjectPeak annotationen_US
dc.subjectMotif identificationen_US
dc.subjectFilter toolsen_US
dc.subjectComparisonen_US
dc.titleChIPseek, a web-based analysis tool for ChIP dataen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/1471-2164-15-539en_US
dc.identifier.journalBMC GENOMICSen_US
dc.citation.volume15en_US
dc.citation.issueen_US
dc.citation.epageen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.identifier.wosnumberWOS:000338592900001-
dc.citation.woscount0-
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