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Scalable GPU Implementation of Minimap2 for Long Read Alignment

EasyChair Preprint no. 10935

7 pagesDate: September 21, 2023


Minimap2 is a widely-recognized tool for long read alignment, known 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 alignment for genomics research. Long-read sequencing technologies have transformed genomics, enabling the study of complex genomes and structural variations with unprecedented detail. Minimap2 is a popular tool known for its efficiency in aligning long reads to reference genomes. However, as genomic datasets continue to grow, the computational demands of accurate long-read alignment pose a challenge

Keyphrases: Mnimap, mnimap exceleration, mnimap2

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Smith Milson},
  title = {Scalable GPU Implementation of Minimap2 for Long Read Alignment},
  howpublished = {EasyChair Preprint no. 10935},

  year = {EasyChair, 2023}}
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