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