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A toolbox for developing bioinformatics software

机译:开发生物信息学软件的工具箱

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摘要

Creating useful software is a major activity of many scientists, including bioinformaticians. Nevertheless, software development in an academic setting is often unsystematic, which can lead to problems associated with maintenance and long-term availibility. Unfortunately, well-documented software development methodology is difficult to adopt, and technical measures that directly improve bioinformatic programming have not been described comprehensively. We have examined 22 software projects and have identified a set of practices for software development in an academic environment. We found them useful to plan a project, support the involvement of experts (e.g. experimentalists), and to promote higher quality and maintainability of the resulting programs. This article describes 12 techniques that facilitate a quick start into software engineering. We describe 3 of the 22 projects in detail and give many examples to illustrate the usage of particular techniques. We expect this toolbox to be useful for many bioinformatics programming projects and to the training of scientific programmers.
机译:创建有用的软件是许多科学家(包括生物信息学家)的一项主要活动。但是,学术环境中的软件开发通常是不系统的,这可能导致与维护和长期可用性相关的问题。不幸的是,有据可查的软件开发方法很难采用,直接改善生物信息学编程的技术措施尚未得到全面描述。我们检查了22个软件项目,并确定了一套学术环境中的软件开发实践。我们发现它们对于计划项目,支持专家(例如实验家)的参与以及促进所生成程序的更高质量和可维护性很有用。本文介绍了12种有助于快速入门软件工程的技术。我们详细描述了22个项目中的3个,并提供了许多示例来说明特定技术的用法。我们希望该工具箱可用于许多生物信息学编程项目以及科学程序员的培训。

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