SeqForge:一个可扩展的平台,用于基于对齐的搜索,动机检测和跨元/基因组数据集的序列策划
Elijah R Bring Horvath1, Jaclyn M Winter2
1Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, 84112, USA. eli.bringhorvath@pharm.utah.edu.
BMC bioinformatics
|November 19, 2025
概括
SeqForge是一个新的工具包,简化了大规模的基因组数据分析,使比较搜索和动机发现可供更多的研究人员使用. 它自动化了复杂的任务,减少了微生物和元基因组学研究中定制脚本的需求.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 越来越多的微生物和元基因组数据需要高效的分析工具.
- 像BLAST+这样的现有方法需要定制脚本来进行大规模的人口研究,这对研究人员来说是一个障碍.
- 对于对比序列搜索和功能注释的简化方法的需求越来越大.
研究的目的:
- 开发一个可扩展的,模块化的命令行工具包,用于高效的大规模基因组数据分析.
- 为了自动化数据库创建,查询和微生物和元基因组数据集的动机挖掘.
- 为了减少进行人口层面基因组研究的研究人员的计算和技术障碍.
主要方法:
- 开发了SeqForge,这是一个命令行工具包,用于基于对齐的搜索和图案挖掘.
- 自动BLAST+数据库创建和查询,集成的氨基酸基因发现,并启用序列提取.
- 实现了对各种输入格式,并行执行和内置可视化工具的支持.
主要成果:
- 在大型基因组数据集中,SeqForge简化了BLAST+搜索和图案发现.
- 该工具包将结果整理自动化成结构化,易于解析的格式.
- 基准测试显示,对于具有适度内存使用的计算密集型模块,近线性运行时间缩放.
结论:
- SeqForge降低了大规模元基因组/基因组探索的计算障碍.
- 能够实现人口规模的BLAST搜索,动机检测和序列策划,而无需自定义脚本编写.
- 该工具包是免费的,独立于平台,适合各种计算环境.
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