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Efficient Parallelization of Minimap2 for Long Read Alignment on GPUs

EasyChair Preprint no. 10934

4 pagesDate: September 21, 2023


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  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}}
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