Ruffus: a lightweight Python library for computational pipelines
Ruffus: a lightweight Python library for computational pipelines
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DOI：
10.1093/bioinformatics/btq524
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发表时间：
2010-11-01
期刊：
影响因子：
5.8
通讯作者：
Goodstadt, Leo
中科院分区：
文献类型：
--
作者：
Goodstadt, Leo
计算流水线是科学研究中常见的地方。然而，用于构建管道的大多数资源都是具有图形用户界面的重量级系统。Ruffus是一个用于创建计算管道的库。它的轻量级和不显眼的设计建议使用它，即使是最琐碎的分析。与此同时，它足够强大，可用于涉及50多个相互依赖阶段的复杂工作流程。
Computational pipelines are common place in scientific research. However, most of the resources for constructing pipelines are heavyweight systems with graphical user interfaces. Ruffus is a library for the creation of computational pipelines. Its lightweight and unobtrusive design recommends it for use even for the most trivial of analyses. At the same time, it is powerful enough to have been used for complex workflows involving more than 50 interdependent stages.