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LongPhase: an ultra-fast chromosome-scale phasing algorithm for small and large variants.

Jyun-Hong Lin1, Liang-Chi Chen1, Shu-Chi Yu1

  • 1Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 621301, Taiwan.

Bioinformatics (Oxford, England)
|February 1, 2022
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Summary

LongPhase efficiently phases single nucleotide polymorphisms (SNPs) and structural variations (SVs) in human genomes, creating larger haplotype blocks. This novel algorithm offers a faster, cost-effective solution for genome phasing using long reads.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Long-read sequencing technologies have advanced genome reconstruction, variant calling, and metagenomic analysis.
  • Existing long-read phasing methods struggle with large structural variations (SVs) and lack efficiency for population-scale studies.

Purpose of the Study:

  • To introduce LongPhase, a novel algorithm for simultaneous phasing of single nucleotide polymorphisms (SNPs) and structural variations (SVs).
  • To improve the contiguity and efficiency of genome phasing, particularly for large structural variations.

Main Methods:

  • Development of the LongPhase algorithm for co-phasing SNPs and SVs.
  • Utilizing Nanopore ultra-long reads for genome phasing.
  • Benchmarking against state-of-the-art methods like WhatsHap, HapCUT2, and Margin.

Main Results:

  • LongPhase achieves human genome phasing in 10-20 minutes, 10x faster than existing tools.
  • Co-phasing SNPs and SVs results in significantly larger haplotype blocks (N50 = 25 Mbp) compared to current methods (N50 = 10-15 Mbp).
  • The method produces 1-26 blocks per chromosome arm without requiring trios, chromosome-conformation, or strand-seq data, demonstrating a cost-effective and highly contiguous solution.

Conclusions:

  • LongPhase provides a significant advancement in genome phasing by effectively handling structural variations.
  • The algorithm offers a faster, more contiguous, and cost-effective approach for population-scale genome phasing.
  • Integration with ultra-long reads positions LongPhase as a powerful tool for comprehensive human genome analysis.