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基因MPI:集群可扩展变体,要求短/长读取数据序列的数据序列

Tanveer Ahmad, Joseph Schuchart, Zaid Al Ars

IEEE transactions on computational biology and bioinformatics

|August 14, 2025

概括

基因MPI使用消息传递接口 (MPI) 加速基因组变异调用,以实现高效的并行处理. 这种高性能工作流通过优于现有的大数据解决方案来显著加快临床诊断的速度.

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.
高性能计算高性能计算

背景情况:

高通量测序产生了大量的数据,为实时分析带来了计算挑战.
单节点处理是来自大型测序数据集的及时临床诊断的瓶.

研究的目的:

为快速的基因组数据处理开发一个可扩展和高效的调用工作流的变体.
利用消息传递接口 (MPI) 在分布式系统上进行并行计算.

主要方法:

实现了使用MPI进行并行数据处理的调用工作流 (GenMPI) 的便携式变体.
优化数据流和利用MPI远程内存访问 (RMA) 进行分布式操作.
集成各种对齐器 (BWA-MEM,Minimap2) 和变体调用器 (GATK HaplotypeCaller,DeepVariant,章鱼,Clair3) 进行短时间和长时间的读取.

主要成果:

基因MPI展示了近线性可扩展性,可对准多达64个节点 (8192个CPU核心).
该工作流实现了比现有的大数据解决方案提高两倍的性能,并且比其他MPI实现速度快20%.
与单节点方法相比,变量调用准确度保持不变,可扩展性能高达8个节点.

结论:

GenMPI提供了一种灵活,便携式和高性能解决方案,用于大规模的基因组变异调用.
该工作流通过克服处理测序数据的计算瓶来加速实时临床诊断.
开发的系统提高了跨多种测序平台的基因组数据分析的效率.

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