ArticleBioinformatics (Oxford, England)2025
WinPCA: a package for windowed principal component analysis.
Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Signals of Natural Selection across Regions of Low Recombination in Wild Populations of the Purple Sea Urchin, Strongylocentrotus purpuratus.Genome biology and evolution · 2026Article
- Genomic signatures of adaptation across a landscape of crickets following the introduction of a parasitoid fly.Science advances · 2026Article
- The dynamics of introgression and parallel adaptation across North AmericanProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Adaptation across an extreme elevational gradient in Andean leaf-eared mice, the world's highest-dwelling mammal.Science (New York, N.Y.) · 2026Article
- Multiple Origins of a Sex Ratio Supergene in Formica Ants.Molecular biology and evolution · 2026Article
- Ecotypes,bioRxiv : the preprint server for biology · 2026Article
- Complex Patterns of Hitchhiking Mutation Load Among Stickleback Populations.Genome biology and evolution · 2026Article
- Parallel clines of chromosomal inversion frequencies in seaweed flies are associated with thermal variation.Heredity · 2026Article
- Evolutionary Influences on Local Patterns of Genetic Relatedness.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
summaryWith chromosomal reference genomes and population-scale whole genome-sequencing becoming increasingly accessible, contemporary studies often include characterizations of the genomic landscape as it varies along chromosomes, commonly termed genome scans. While traditional summary statistics like FST and dXY between pre-assigned populations remain integral to characterizing the genomic divergence profile, PCA differs by providing single-sample resolution, thereby supporting the identification of polymorphic inversions, introgression and other types of divergent sequence that may not be fully aligned with global population structure. Here, we introduce WinPCA, a user-friendly package to compute, polarize and visualize genetic principal components in windows along the genome. To accommodate low-coverage whole genome-sequencing datasets, WinPCA can optionally make use of PCAngsd methods to compute principal components in a genotype likelihood framework. WinPCA accepts variant data in either VCF or BEAGLE format and can generate rich plots for interactive data exploration and downstream presentation. AVAILABILITY AND IMPLEMENTATION: WinPCA is implemented in Python and freely available at https://github.com/MoritzBlumer/winpca and https://doi.org/10.5281/zenodo.15614979.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.