Swarm v3：迈向万亿级扩增子聚类。
Swarm v3: towards tera-scale amplicon clustering.
机构信息
UMR PHIM, CIRAD, Montpellier, France.
PHIM Plant Health Institute, Univ Montpellier, CIRAD, INRAE, Institut Agro, IRD, Montpellier, France.
出版信息
Bioinformatics. 2021 Dec 22;38(1):267-269. doi: 10.1093/bioinformatics/btab493.
MOTIVATION
Previously we presented swarm, an open-source amplicon clustering programme that produces fine-scale molecular operational taxonomic units (OTUs) that are free of arbitrary global clustering thresholds. Here, we present swarm v3 to address issues of contemporary datasets that are growing towards tera-byte sizes.
RESULTS
When compared with previous swarm versions, swarm v3 has modernized C++ source code, reduced memory footprint by up to 50%, optimized CPU-usage and multithreading (more than 7 times faster with default parameters), and it has been extensively tested for its robustness and logic.
AVAILABILITY AND IMPLEMENTATION
Source code and binaries are available at https://github.com/torognes/swarm.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
动机
此前，我们介绍了 swarm，这是一个开源的扩增子聚类程序，可生成无任意全局聚类阈值的精细分子操作分类单元 (OTUs)。在这里，我们介绍 swarm v3，以解决当前数据集不断增长到太字节大小的问题。
结果
与以前的 swarm 版本相比，swarm v3 对 C++ 源代码进行了现代化改造，内存占用减少了 50%，优化了 CPU 使用率和多线程（使用默认参数时速度提高了 7 倍以上），并且已经对其鲁棒性和逻辑进行了广泛测试。
可用性和实现
源代码和二进制文件可在 https://github.com/torognes/swarm 上获得。
补充信息
补充数据可在 Bioinformatics 在线获得。
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