NGSPipes: Fostering Reproducibility and Scalability in Biosciences

Bruno Dantas, Calmenelias Fleitas, Alexandre Almeida, J. Forja, Alexandre P. Francisco, José Simão, Cátia Vaz
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引用次数: 1

Abstract

Biosciences have been revolutionised by NGS technologies in last years, leading to new perspectives in medical, industrial and environmental applications. And although our motivation comes from biosciences, the following is true for many areas of science: published results are usually hard to reproduce, delaying the adoption of new methodologies and hindering innovation. Even if data and tools are freely available, pipelines for data analysis are in general barely described and their setup is far from trivial. NGSPipes addresses these issues reducing the efforts necessary to define, build and deploy pipelines, either at a local workstation or in the cloud. NGSPipes framework is freely available at http://ngspipes.github.io/.
NGSPipes:促进生物科学的可重复性和可扩展性
在过去的几年里,NGS技术已经彻底改变了生物科学,为医疗、工业和环境应用带来了新的前景。尽管我们的动机来自于生物科学,但以下是许多科学领域的真实情况:发表的结果通常难以复制,延迟了新方法的采用并阻碍了创新。即使数据和工具是免费提供的,用于数据分析的管道通常也很少被描述,它们的设置也远非微不足道。ngspipe解决了这些问题,减少了在本地工作站或云中定义、构建和部署管道所需的工作量。ngspipe框架可以在http://ngspipes.github.io/上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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