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包装生物计算软件以最大化分布和重用。

Packaging Biocomputing Software to Maximize Distribution and Reuse.

机构信息

Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA,

出版信息

Pac Symp Biocomput. 2022;27:412-416.

Abstract

The majority of publications in computational biology and biocomputing develop or apply software approaches to relevant biological problems to some degree. While journals and conferences often prompt authors to make their source code available, these are often only basic requirements. Investigators often wish their software and tools were widely usable to the scientific community, but there are limited resources available to maximize the distribution and provide easy use of developed software. Even when authors adhere to standards of source code availability, the growing problem of system configuration issues, language and library version conflicts, and other implementation issues often impede the broad distribution, availability of software tools, and reproducibility of research. There are a variety of solutions to these implementation issues, but the learning curve for applying these solutions can be steep. This tutorial demonstrates tools and approaches for packaging and distribution of published code, and provides methodological practices for the broad and open sharing of new biocomputing software.

摘要

大多数计算生物学和生物计算方面的出版物都在某种程度上开发或应用了软件方法来解决相关的生物学问题。虽然期刊和会议经常要求作者提供他们的源代码,但这通常只是基本要求。研究人员通常希望他们的软件和工具能够被科学界广泛使用,但可用的资源有限,无法最大限度地分发和提供开发软件的易用性。即使作者遵守源代码可用性的标准,系统配置问题、语言和库版本冲突以及其他实现问题的日益增多的问题,也常常阻碍软件工具的广泛分发、可用性和研究的可重复性。有多种解决方案可以解决这些实现问题,但应用这些解决方案的学习曲线可能很陡峭。本教程演示了用于发布代码的打包和分发的工具和方法,并提供了新的生物计算软件广泛和开放共享的方法实践。

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