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Quantifying Intermembrane Distances with Serial Image Dilations
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New strategies to improve minimap2 alignment accuracy.

Heng Li1,2

  • 1Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.

Bioinformatics (Oxford, England)
|October 8, 2021
PubMed
Summary

Minimap2 version 2.22 enhances nucleotide sequence alignment by improving mapping accuracy in repetitive regions and handling large insertions or deletions. This update significantly boosts the performance of this versatile pairwise aligner.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Minimap2 is a widely used tool for pairwise sequence alignment.
  • Previous versions had limitations in handling highly repetitive genomic regions and large insertions/deletions.

Purpose of the Study:

  • To present recent improvements in minimap2, specifically version 2.22.
  • To enhance the accuracy and capability of nucleotide sequence alignment.

Main Methods:

  • The study details software updates to the minimap2 aligner.
  • Focus on algorithmic enhancements for mapping long reads and handling large indels.

Main Results:

  • Minimap2 v2.22 demonstrates improved accuracy in mapping long reads to repetitive sequences.
  • The aligner can now process insertions or deletions up to 100 kilobases by default.

Conclusions:

  • Minimap2 v2.22 addresses key weaknesses of earlier versions.
  • The updated aligner offers more robust and accurate nucleotide sequence alignment, particularly for challenging genomic regions.