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WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis.

机译:WiggleTools:并行处理大范围的全基因组数据集,以进行可视化和统计分析。

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MOTIVATION: Using high-throughput sequencing, researchers are now generating hundreds of whole-genome assays to measure various features such as transcription factor binding, histone marks, DNA methylation or RNA transcription. Displaying so much data generally leads to a confusing accumulation of plots. We describe here a multithreaded library that computes statistics on large numbers of datasets (Wiggle, BigWig, Bed, BigBed and BAM), generating statistical summaries within minutes with limited memory requirements, whether on the whole genome or on selected regions. AVAILABILITY AND IMPLEMENTATION: The code is freely available under Apache 2.0 license at www.github.com/Ensembl/Wiggletools
机译:动机:使用高通量测序,研究人员现在正在生成数百种全基因组测定,以测量各种特征,例如转录因子结合,组蛋白标记,DNA甲基化或RNA转录。显示如此多的数据通常会导致混乱的图积累。我们在这里描述了一个多线程库,该库可以计算大量数据集(摆动,BigWig,Bed,BigBed和BAM)的统计信息,并在几分钟内生成有限的内存或整个基因组或选定区域的统计摘要。可用性和实现:该代码可在Apache 2.0许可下免费获得,网址为www.github.com/Ensembl/Wiggletools

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