Meyer Fernando, Robertson Gary, Deng Zhi-Luo, Koslicki David, Gurevich Alexey, McHardy Alice C
Computational Biology of Infection Research, Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany.
Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Nucleic Acids Res. 2025 Jul 7;53(W1):W102-W109. doi: 10.1093/nar/gkaf369.
Finding appropriate software and parameter settings to process shotgun metagenome data is essential for meaningful metagenomic analyses. To enable objective and comprehensive benchmarking of metagenomic software, the community-led initiative for the Critical Assessment of Metagenome Interpretation (CAMI) promotes standards and best practices. Since 2015, CAMI has provided comprehensive datasets, benchmarking guidelines, and challenges. However, benchmarking had to be conducted offline, requiring substantial time and technical expertise and leading to gaps in results between challenges. We introduce the CAMI Benchmarking Portal-a central repository of CAMI resources and web server for the evaluation and ranking of metagenome assembly, binning, and taxonomic profiling software. The portal simplifies evaluation, enabling users to easily compare their results with previous and other users' submissions through a variety of metrics and visualizations. As a demonstration, we benchmark software performance on the marine dataset of the CAMI II challenge. The portal currently hosts 28 675 results and is freely available at https://cami-challenge.org/.
找到合适的软件和参数设置来处理鸟枪法宏基因组数据对于有意义的宏基因组分析至关重要。为了实现对宏基因组软件的客观和全面基准测试,由社区主导的宏基因组解释关键评估(CAMI)倡议推广标准和最佳实践。自2015年以来,CAMI提供了全面的数据集、基准测试指南和挑战。然而,基准测试必须离线进行,这需要大量时间和技术专业知识,并导致不同挑战之间的结果存在差距。我们推出了CAMI基准测试门户——一个CAMI资源的中央存储库和用于评估和排名宏基因组组装、分箱和分类学分析软件的网络服务器。该门户简化了评估,通过各种指标和可视化,使用户能够轻松地将自己的结果与之前和其他用户的提交结果进行比较。作为演示,我们在CAMI II挑战的海洋数据集上对软件性能进行基准测试。该门户目前托管了28675个结果,可在https://cami-challenge.org/上免费获取。