工作流程
开源
开源软件
计算机科学
云计算
数据科学
大数据
星团(航天器)
比例(比率)
数据库
数据挖掘
操作系统
量子力学
物理
软件
作者
John Vivian,Arjun A. Rao,Frank Austin Nothaft,Christopher Ketchum,Joel Armstrong,Adam M. Novak,Jacob Pfeil,Jake Narkizian,Alden Deran,Audrey Musselman-Brown,Hannes Schmidt,Peter Amstutz,Brian Craft,Mary J. Goldman,Kate R. Rosenbloom,Melissa Cline,Brian D. O’Connor,Megan Hanna,Chet Birger,W. James Kent
摘要
Toil is portable, open-source workflow software that supports contemporary workflow definition languages and can be used to securely and reproducibly run scientific workflows efficiently at large-scale. To demonstrate Toil, we processed over 20,000 RNA-seq samples to create a consistent meta-analysis of five datasets free of computational batch effects that we make freely available. Nearly all the samples were analysed in under four days using a commercial cloud cluster of 32,000 preemptable cores.
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