计算方法的包装和容器化
Mohammed Alser1, Brendan Lawlor2,3, Richard J Abdill4
1Department of Information Technology and Electrical Engineering, ETH Zürich, Zurich, Switzerland.
Nature protocols
|April 2, 2024
概括
Omics数据分析软件是复杂的. 包装和容器化简化了研究人员的安装和可用性,提高了生物医学研究中的可重复性.
科学领域:
- 生物医学信息学 生物医学信息学
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
背景情况:
- 奥米克数据分析 (例如,蛋白质组学,代谢组学) 生成复杂的数据集.
- 专门的软件工具对于现代生物医学研究至关重要,但通常具有复杂的安装要求.
- 对多个软件版本的依赖阻碍了可用性和可重复性.
研究的目的:
- 系统地审查和比较omics软件的包装和集装箱平台.
- 评估这些方法对用户,开发人员和管理员的挑战,优势和局限性.
- 为可持续和强大的OMIC软件分销提出原则.
主要方法:
- 对主要的包装和集装箱平台进行系统审查.
- 对功能,可用性和安装复杂性的比较分析.
- 从多个利益相关方 (用户,开发人员,管理员) 的角度进行评估.
主要成果:
- 包装和容器化为omics软件的安装和可用性提供解决方案.
- 不同的平台带来独特的挑战和好处.
- 确定了用户,开发人员和系统管理员的关键考虑因素.
结论:
- 包装和集装箱化提高了omics分析工具的可访问性和可用性.
- 标准化的分发原则可以提高软件的可持续性和研究可复制性.
- 采用这些方法对于推动生物医学和生命科学研究至关重要.
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