PGR-TK

PGR-TK performs multiscale analysis of pangenomes to represent genomic diversity and to characterize structural and haplotype variation in repetitive and clinically significant genes.


Key Features:

  • Multiscale pangenome analysis: Analyzes variation across scales from tandem repeats to megabase rearrangements within pangenomes.
  • Graph decomposition methodologies: Uses graph decomposition approaches to identify structural and haplotype variation within pangenomes.
  • Structural and haplotype variation characterization: Detects and analyzes structural variants and haplotypes in complex genomic regions.
  • Repetitive and clinically significant gene focus: Targets repetitive regions and clinically relevant loci, including tandem repeats and medically important genes.
  • Integration of sequencing and assembly methods: Leverages advances in sequencing technologies and assembly methods to improve representation of genomic diversity.
  • Large-scale gene applicability: Applied across 395 complex repetitive medically important genes.

Scientific Applications:

  • Class II major histocompatibility complex: Analysis of the complex class II major histocompatibility complex region within the human pangenome.
  • Y-chromosome DAZ genes: Analysis of structural variants in DAZ1/DAZ2/DAZ3/DAZ4 linked to male infertility.
  • X-chromosome opsin genes: Examination of OPN1LW and OPN1MW variation associated with eye disorders.
  • Complex medically important genes: Resolution of intricate variation across 395 complex repetitive medically important genes.

Methodology:

Applies graph decomposition methodologies to analyze structural and haplotype variation within pangenomes and leverages sequencing technologies and assembly methods.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
3/6/2024
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

De-novo assembly

Publications

Chin C, Behera S, Khalak A, Sedlazeck FJ, Sudmant PH, Wagner J, Zook JM. Multiscale analysis of pangenomes enables improved representation of genomic diversity for repetitive and clinically relevant genes. Nature Methods. 2023;20(8):1213-1221. doi:10.1038/s41592-023-01914-y. PMID:37365340. PMCID:PMC10406601.

PMID: 37365340
Funding: - U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute: 1U01HG011758-01 - U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences: R35GM142916

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