fluff: exploratory analysis and visualization of high-throughput sequencing data
fluff: exploratory analysis and visualization of high-throughput sequencing data
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DOI：
10.7717/peerj.2209
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发表时间：
2016-07-19
期刊：
影响因子：
2.7
通讯作者：
van Heeringen, Simon J.
中科院分区：
文献类型：
--
作者：
Georgiou, Georgios;van Heeringen, Simon J.
总结。在本文中，我们描述了 fluff，这是一个软件包，可以对映射到参考基因组的高通量测序数据进行简单的探索、聚类和可视化。该软件包包含三个命令行工具，可以使用合理的默认值以简单的方式生成出版物质量的数据。根据不同的聚类方法，可以在热图中聚合、聚类和可视化全基因组数据。这包括一个预定义的设置，用于识别不同条件或发育阶段之间的动态集群。或者，可以在带状图中可视化聚类数据。最后，fluff 包括一个生成几何剖面的工具。作为命令行工具，fluff 程序可以轻松集成到标准分析管道中。
A Summary. In this article we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate gehomic profiles As command -line tools, the fluff programs can easily be integrated into standard analysis pipelines.