Y-LineageTracker

Y-LineageTracker analyzes next-generation sequencing (NGS) data of the human Y chromosome to classify NRY haplogroups, genotype Y-STRs, construct phylogenies and haplotype networks, and estimate divergence times and TMRCA for paternal lineage studies.


Key Features:

  • NGS Y-chromosome processing: Processes high-throughput NGS data targeted to the non-recombining region of the Y chromosome (NRY).
  • Haplogroup classification and clustering: Classifies NRY haplogroups and clusters samples into specific paternal lineages.
  • Phylogeny construction: Constructs phylogenetic trees to represent evolutionary relationships among haplogroups.
  • Divergence time estimation: Estimates divergence times for haplogroups to provide temporal context for lineage evolution.
  • Y-STR genotyping and statistics: Genotypes Y-STR loci and performs statistical calculations to quantify Y-STR variation.
  • Y-STR network analysis: Builds networks depicting relationships among Y-STR haplotypes.
  • TMRCA estimation: Estimates time to the most recent common ancestor (TMRCA) for Y-STR haplotypes.
  • Visualization output: Produces publication-quality visualizations of haplogroups, phylogenies, and networks.

Scientific Applications:

  • Paternal lineage tracing: Enables high-resolution reconstruction of paternal ancestry using NRY haplogroups and Y-STRs.
  • Population genetics: Facilitates analysis of genetic diversity, population structure, and evolutionary history across populations.
  • Anthropological and migration studies: Supports inference of human migration patterns and demographic changes through haplogroup and Y-STR analyses.

Methodology:

Integrates modular computational strategies to analyze NGS-derived Y-DNA (NRY and Y-STRs), supports multiple input formats, and produces publication-quality visualizations.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/3/2022
Last Updated:
1/3/2022

Operations

Publications

Chen H, Lu Y, Lu D, Xu S. Y-LineageTracker: a high-throughput analysis framework for Y-chromosomal next-generation sequencing data. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04057-z. PMID:33750289. PMCID:PMC7941695.

PMID: 33750289
PMCID: PMC7941695
Funding: - National Natural Science Foundation of China: 31525014, 31771388, 31961130380, 32030020, 32041008 - Key Research Program of Frontier Sciences of the Chinese Academy of Sciences: QYZDJ-SSW-SYS009 - Strategic Priority Research Program of the Chinese Academy of Sciences: XDB38000000 - Science and Technology Commission of Shanghai Municipality: 2017SHZDZX01

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