Introducing field-programmable gate arrays in genotype phasing and imputation

被引:0
|
作者
Wienbrandt, Lars [1 ]
Ellinghaus, David [1 ]
机构
[1] Univ Kiel, Inst Clin Mol Biol, Bot Garten 11, D-24108 Kiel, Germany
来源
BIOINFORMATICS ADVANCES | 2024年 / 4卷 / 01期
关键词
FASTER; FPGA;
D O I
10.1093/bioadv/vbae114
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We recently developed EagleImp, a free software that combines genotype phasing and imputation in a single tool. By introducing algorithmic and technical improvements we accelerated the classical two-step approach using Eagle2 and PBWT. Here, we demonstrate how to use field-programmable gate arrays (FPGAs) to accelerate EagleImp even further by a factor of up to 93% without loss of phasing and imputation quality. Due to the speed advantage over a not accelerated processor-based implementation, the FPGA extension of EagleImp allows the user to choose a more resource-intensive parameter setting in exchange for computation time to further improve phasing and imputation quality.Availability and implementation EagleImp and its FPGA extension are freely available at https://github.com/ikmb/eagleimp and https://github.com/ikmb/eagleimp-fpga.
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页数:8
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