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Introducing field-programmable gate arrays in genotype phasing and imputation.
Wienbrandt, Lars; Ellinghaus, David.
Afiliación
  • Wienbrandt L; Institute of Clinical Molecular Biology, Kiel University, Am Botanischen Garten 11, 24108 Kiel, Germany.
  • Ellinghaus D; Institute of Clinical Molecular Biology, Kiel University, Am Botanischen Garten 11, 24108 Kiel, Germany.
Bioinform Adv ; 4(1): vbae114, 2024.
Article en En | MEDLINE | ID: mdl-39165344
ABSTRACT

Summary:

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.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Alemania