Efficient Parallelization of Minimap2 for Long Read Alignment on GPUs

EasyChair Preprint no. 10934

Abstract

Minimap2 is a versatile and widely used bioinformatics tool for efficiently aligning long sequencing reads (such as those generated by third-generation sequencing technologies like PacBio and Oxford Nanopore) to reference genomes. Developed by Heng Li, the creator of the popular SAMtools and BCFtools, Minimap2 offers a range of features and improvements over its predecessor, Minimap.Efficient parallelization is crucial for optimizing the performance of Minimap2 in long read alignment tasks, especially when utilizing Graphics Processing Units (GPUs). In this article, we delve into the strategies and methodologies involved in the parallelization of Minimap2 to accelerate long read alignment while maintaining accuracy and precision.

Keyphrases: abc, Minimap2, xyz

@Booklet{EasyChair:10934,
  author = {Smith Milson and Flip Carter},
  title = {Efficient Parallelization of Minimap2 for Long Read Alignment on GPUs},
  howpublished = {EasyChair Preprint no. 10934},

  year = {EasyChair, 2023}}