DAPCy: a Python package for the discriminant analysis of principal components method for population genetic analyses

DAPCy can be installed as a Python package through pip. Source code is available on https://gitlab.com/uhasselt-bioinfo/dapcy. Documentation and a tutorial can be found on https://uhasselt-bioinfo.gitlab.io/dapcy/.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf143
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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DAPCy: a Python package for the discriminant analysis of principal components method for population genetic analyses

Pieter Moris, Alejandro Correa Rojo, Hanne Meuwissen, Pieter Monsieurs et al.
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Genetic Mapping and Diversity in Plants and Animals
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DAPCy: a Python package for the discriminant analysis of principal components method for population genetic analyses

Pieter Moris, Alejandro Correa Rojo, Hanne Meuwissen, Pieter Monsieurs, Dirk Valkenborg
article en

Abstract

DAPCy can be installed as a Python package through pip. Source code is available on https://gitlab.com/uhasselt-bioinfo/dapcy. Documentation and a tutorial can be found on https://uhasselt-bioinfo.gitlab.io/dapcy/.

Bioinformatics AdvancesVol. 5(1)
Flemish Institute for Technological Research (BE), Instituut voor Tropische Geneeskunde (BE), Hasselt University (BE)
Bijzonder Onderzoeksfonds UGent
Reduced inequalities
Openalex Percentile: Top 71%
Genetic Mapping and Diversity in Plants and Animals
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