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MsPAC: a tool for haplotype-phased structural variant detection.

Oscar L Rodriguez1, Anna Ritz2, Andrew J Sharp1

  • 1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Bioinformatics (Oxford, England)
|August 10, 2019
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Summary
This summary is machine-generated.

MsPAC integrates long-read and barcoding sequencing data to improve structural variant (SV) detection. This new tool enables high-quality, phased SV predictions for more complete diploid genome analysis.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) provides vast genomic data but has limitations in phased genome assembly and structural variant (SV) analysis due to short read lengths.
  • Long-read sequencing and 10x Genomics barcoding offer enhanced capabilities for comprehensive individual genome analysis.

Purpose of the Study:

  • To present MsPAC, a novel computational tool designed to combine long-read and barcoding sequencing technologies.
  • To enable high-quality, phased structural variant (SV) predictions for improved diploid genome resolution.

Main Methods:

  • MsPAC partitions sequencing reads from combined long-read and 10x Genomics data.
  • It utilizes existing software for haplotype assembly.
  • The tool converts assemblies into phased SV predictions.

Main Results:

  • MsPAC facilitates the generation of high-quality, phased structural variant (SV) calls.
  • The framework supports haplotype-resolved SV analysis.

Conclusions:

  • MsPAC offers a framework for advancing haplotype-resolved SV calling.
  • The tool contributes to achieving more fully resolved diploid genomes.