在生物信息学中建立一个持续的基准测试生态系统
Izaskun Mallona1,2, Charlotte Soneson2,3, Ben Carrillo1,2
1Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
PLoS computational biology
|November 13, 2025
概括
计算基准测试需要强大的平台来进行中立的方法比较. 本视角概述了一个计算平台的愿望清单,用于组织可重复的环境和标准化工作流程在基准测试研究.
科学领域:
- 计算生物学是一种计算生物学.
- 生物信息学是一种生物信息学.
- 软件工程 软件工程 软件工程
背景情况:
- 基准测试对于开发和验证新的计算工具至关重要.
- 现有的文献侧重于基准研究设计,但缺乏对计算平台的指导.
- 在计算科学中,中立的方法比较是必不可少的.
研究的目的:
- 为编排基准研究提出一个计算平台架构.
- 概述可重复的软件环境和标准化工作流程的关键特性.
- 解决需要一个专门的平台,以促进中立方法比较的需求.
主要方法:
- 讨论可复制软件环境的要求.
- 基准数据集和指标的正式定义.
- 标准化计算工作流程的编排.
- 与现有计算基础设施的集成.
主要成果:
- 一个计算基准测试平台的概念框架.
- 确定可复制性和标准化必需的组件.
- 与多样化的计算资源进行接口的策略.
结论:
- 一个专用的计算平台可以显著提高基准测试研究的严谨性和可重复性.
- 工作流程和环境的标准化是中立方法比较的关键.
- 未来的开发应该专注于实施这些平台,以推进计算工具验证.
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