PopGLen—a Snakemake pipeline for performing population genomic analyses using genotype likelihood-based methods

PopGLen is available under GPLv3 with code, documentation, and a tutorial at https://github.com/zjnolen/PopGLen. An example HTML report using the tutorial dataset is included in the Supplementary Material.

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Publication Details

Journal
Bioinformatics
Published
2025-03-01
DOI
https://doi.org/10.1093/bioinformatics/btaf105
Citations
1
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.81

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article

PopGLen—a Snakemake pipeline for performing population genomic analyses using genotype likelihood-based methods

Zachary J. Nolen
1 citations
Bioinformatics
Identification and Quantification in Food
0.81
article

PopGLen—a Snakemake pipeline for performing population genomic analyses using genotype likelihood-based methods

Zachary J. Nolen
article en
1 citations

Abstract

PopGLen is available under GPLv3 with code, documentation, and a tutorial at https://github.com/zjnolen/PopGLen. An example HTML report using the tutorial dataset is included in the Supplementary Material.

BioinformaticsVol. 41(3)
Lund University (SE)
Vetenskapsrådet, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 30%
Identification and Quantification in Food
0.81
DOIOpen Access PDFOpenAlex
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PopGLen—a Snakemake pipeline for performing population genomic analyses using genotype likelihood-based methods — Zachary J. Nolen · Bioinformatics (2025) | TGRS Research Map | TGRS