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ChIPseek, a web-based analysis tool for ChIP data

机译:ChIPseek,基于Web的ChIP数据分析工具

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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 webcite .
机译:背景染色质是一种动态但高度调节的结构。 DNA结合蛋白(例如转录因子,表观遗传和染色质修饰剂)负责调节特定的基因表达模式,并可能导致不同的表型。为了揭示与DNA特定区域相关的蛋白质的身份,染色质免疫沉淀(ChIP)是最广泛使用的技术。通常使用ChIP测定法,然后进行下一代测序(ChIP-seq)或微阵列(ChIP芯片),以研究全基因组范围内不同细胞类型和癌症样品中蛋白质结合谱的模式。但是,仅有限数量的生物信息学工具可用于ChIP数据集分析。结果我们介绍了ChIPseek,这是一个基于Web的ChIP数据分析工具,可提供图形中的摘要统计信息,并提供一些通常需要的分析。 ChIPseek可以提供数据集的统计摘要,包括峰长分布的直方图,到最近的转录起始位点(TSS)的距离的直方图以及基因组位置的饼图(或条形图),以便用户在数据集上全面了解进一步的分析。为了检查峰的潜在功能,ChIPseek提供了峰注释,峰基因组位置的可视化,基序识别,序列提取以及数据集之间的比较。除此之外,ChIPseek还为用户提供了过滤峰并重新分析过滤后的峰子集的灵活性。 ChIPseek支持12种模式生物的20种不同的基因组组装,包括人类,小鼠,大鼠,蠕虫,苍蝇,青蛙,斑马鱼,鸡,酵母,裂变酵母,拟南芥和水稻。我们使用演示数据集来演示ChIPseek的用法和直观的用户界面。结论ChIPseek为生物学家提供了一个用户友好的界面,可以在无需任何编程技能的情况下分析大规模ChIP数据。 ChIPseek产生的所有结果和数据都可以下载以进行进一步分析。 ChIPseek内置的分析工具,尤其是用于从ChIP数据中选择和检查峰的子集的分析工具,对于探索来自ChIP-seq或ChIP芯片的高通量数据提供了宝贵的帮助。 ChIPseek可从http://chipseek.cgu.edu.tw网站上免费获得。

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