网络服务器的可用性显著提高了对蛋白质功能和疾病预测生物信息学方法的引用率
Jiangning Song1,2, Lukasz Kurgan3
1Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia.
Bioinformatics advances
|December 26, 2023
概括
为生物信息学工具提供可访问的Web服务器可以大大提高其引用率. 这种低成本的投资增强了计算生物学研究和蛋白质功能预测方法的影响.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 蛋白质功能预测的预测
- 蛋白质疾病预测预测
背景情况:
- 生物信息学工具的开发是资源密集的.
- 许多生物信息学方法尽管有大量的发布,但其引用率很低.
- 确定增加这些工具影响力的因素至关重要.
研究的目的:
- 实证地分析最近发布的生物信息学方法的引用率.
- 确定影响这些工具引用数量的关键因素.
- 评估Web服务器可用性对方法引用的影响.
主要方法:
- 对大量生物信息学方法的实证分析.
- 专注于三个不同领域:蛋白质功能预测和疾病预测.
- 基于工具可访问性的引用率的比较 (Web服务器,源代码等). ) 的情况.
主要成果:
- 运行Web服务器的生物信息学方法比没有网络服务器的生物信息学方法得到的引用数量要多得多 (平均3倍).
- 这一趋势在不同研究领域和出版年份中是一致的.
- 预测性能的差异似乎没有显著影响引用率.
结论:
- 功能性Web服务器的可用性是生物信息学工具引用影响的主要驱动因素.
- 投资于提供和长期支持Web服务器可以大大提高生物信息学研究的可见性和影响力.
- 可访问性,而不仅仅是预测准确性,似乎是广泛采用和认可的关键.
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