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Accelerating Minimap2 for Accurate Long Read Mapping on Graphics Cards

EasyChair Preprint 10932

4 pagesDate: September 21, 2023

Abstract

Minimap2, a versatile tool for long read alignment, has gained prominence for its speed and precision. In this article, we explore how Graphics Processing Units (GPUs) can be harnessed to accelerate Minimap2, enhancing the efficiency and accuracy of long read mapping for genomics research. Long-read sequencing technologies have transformed genomics research, enabling the study of complex genomes and structural variations in unprecedented detailMinimap2, a versatile tool for long read alignment, has gained prominence for its speed and precision. In this article, we explore how Graphics Processing Units (GPUs) can be harnessed to accelerate Minimap2, enhancing the efficiency and accuracy of long read mapping for genomics research. Long-read sequencing technologies have transformed genomics research, enabling the study of complex genomes and structural variations in unprecedented detail

Keyphrases: GPU, MiniMap, acceleration

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:10932,
  author    = {Robert Thomson and Julia Anderson and Kurez Oroy},
  title     = {Accelerating Minimap2 for Accurate Long Read Mapping on Graphics Cards},
  howpublished = {EasyChair Preprint 10932},
  year      = {EasyChair, 2023}}
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