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AdmixPipe v3: facilitating population structure delimitation from SNP data

SUMMARY: Quantifying genetic clusters (=populations) from genotypic data is a fundamental, but non-trivial task for population geneticists that is compounded by: hierarchical population structure, diverse analytical methods, and complex software dependencies. AdmixPipe v3 ameliorates many of these i...

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Autores principales: Mussmann, Steven M, Douglas, Marlis R, Chafin, Tyler K, Douglas, Michael E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689661/
https://www.ncbi.nlm.nih.gov/pubmed/38046098
http://dx.doi.org/10.1093/bioadv/vbad168
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author Mussmann, Steven M
Douglas, Marlis R
Chafin, Tyler K
Douglas, Michael E
author_facet Mussmann, Steven M
Douglas, Marlis R
Chafin, Tyler K
Douglas, Michael E
author_sort Mussmann, Steven M
collection PubMed
description SUMMARY: Quantifying genetic clusters (=populations) from genotypic data is a fundamental, but non-trivial task for population geneticists that is compounded by: hierarchical population structure, diverse analytical methods, and complex software dependencies. AdmixPipe v3 ameliorates many of these issues in a single bioinformatic pipeline that facilitates all facets of population structure analysis by integrating outputs generated by several popular packages (i.e. CLUMPAK, EvalAdmix). The pipeline interfaces disparate software packages to parse Admixture outputs and conduct EvalAdmix analyses in the context of multimodal population structure results identified by CLUMPAK. We further streamline these tasks by packaging AdmixPipe v3 within a Docker container to create a standardized analytical environment that allows for complex analyses to be replicated by different researchers. This also grants operating system flexibility and mitigates complex software dependencies. AVAILABILITY AND IMPLEMENTATION: Source code, documentation, example files, and usage examples are freely available at https://github.com/stevemussmann/admixturePipeline. Installation is facilitated via Docker container available from https://hub.docker.com/r/mussmann/admixpipe. Usage under Windows operating systems requires the Windows Subsystem for Linux.
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spelling pubmed-106896612023-12-02 AdmixPipe v3: facilitating population structure delimitation from SNP data Mussmann, Steven M Douglas, Marlis R Chafin, Tyler K Douglas, Michael E Bioinform Adv Application Note SUMMARY: Quantifying genetic clusters (=populations) from genotypic data is a fundamental, but non-trivial task for population geneticists that is compounded by: hierarchical population structure, diverse analytical methods, and complex software dependencies. AdmixPipe v3 ameliorates many of these issues in a single bioinformatic pipeline that facilitates all facets of population structure analysis by integrating outputs generated by several popular packages (i.e. CLUMPAK, EvalAdmix). The pipeline interfaces disparate software packages to parse Admixture outputs and conduct EvalAdmix analyses in the context of multimodal population structure results identified by CLUMPAK. We further streamline these tasks by packaging AdmixPipe v3 within a Docker container to create a standardized analytical environment that allows for complex analyses to be replicated by different researchers. This also grants operating system flexibility and mitigates complex software dependencies. AVAILABILITY AND IMPLEMENTATION: Source code, documentation, example files, and usage examples are freely available at https://github.com/stevemussmann/admixturePipeline. Installation is facilitated via Docker container available from https://hub.docker.com/r/mussmann/admixpipe. Usage under Windows operating systems requires the Windows Subsystem for Linux. Oxford University Press 2023-11-23 /pmc/articles/PMC10689661/ /pubmed/38046098 http://dx.doi.org/10.1093/bioadv/vbad168 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Mussmann, Steven M
Douglas, Marlis R
Chafin, Tyler K
Douglas, Michael E
AdmixPipe v3: facilitating population structure delimitation from SNP data
title AdmixPipe v3: facilitating population structure delimitation from SNP data
title_full AdmixPipe v3: facilitating population structure delimitation from SNP data
title_fullStr AdmixPipe v3: facilitating population structure delimitation from SNP data
title_full_unstemmed AdmixPipe v3: facilitating population structure delimitation from SNP data
title_short AdmixPipe v3: facilitating population structure delimitation from SNP data
title_sort admixpipe v3: facilitating population structure delimitation from snp data
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689661/
https://www.ncbi.nlm.nih.gov/pubmed/38046098
http://dx.doi.org/10.1093/bioadv/vbad168
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