MARS

MARS refines and detects structural variants (SVs), specifically indels, in haplotype-resolved diploid genome assemblies using linked-read sequencing to enable high-sensitivity genotyping and phasing across multiple samples.


Key Features:

  • Haplotype-resolved assembly compatibility: Operates on haplotype-resolved diploid assemblies to call and refine structural variants.
  • Multiple alignment-based refinement: Uses a multiple alignment-based approach to define and refine SV calls across multiple samples.
  • Linked-reads integration: Integrates linked-read sequencing data to improve sensitivity and accuracy of SV detection and phasing.
  • High-sensitivity genotyping and phasing: Provides high-sensitivity genotyping and phasing of SVs across multiple samples.
  • Population-wide analysis: Aligns and analyzes SVs across large cohorts to define population-level variant representations.
  • Validation against Mendelian inheritance and PacBio HiFi reads: Demonstrated validation rates of 73%–87% for indels in diploid assemblies when evaluated with Mendelian inheritance patterns and PacBio HiFi reads.

Scientific Applications:

  • Genomic research: High-resolution SV genotyping and refinement across multiple diploid samples.
  • Population genetics: Analysis of SV distribution and refinement at population scale.
  • Disease genomics: Identification and phasing of SVs relevant to disease-associated genetic variation.

Methodology:

MARS applies a multiple alignment-based approach that integrates linked-read sequencing data to refine SV detection in diploid assemblies and evaluates detected SVs against Mendelian inheritance patterns with validation using PacBio HiFi reads.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, JavaScript, C++, C, Shell
Added:
2/20/2022
Last Updated:
2/20/2022

Operations

Publications

Zhang L, Sidow A, Zhou X. MARS: a tool for haplotype-resolved population-based structural variation detection. Unknown Journal. 2021. doi:10.1101/2021.09.27.462061.

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