The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses

The Pop-Gen Pipeline Platform (PPP) is a software platform for population genomic analyses. The PPP was designed as a collection of scripts that facilitate common population genomic workflows in a consistent and standardized Python environment. Functions were developed to encompass entire workflows,...

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Detalles Bibliográficos
Autores principales: Webb, Andrew, Knoblauch, Jared, Sabankar, Nitesh, Kallur, Apeksha Sukesh, Hey, Jody, Sethuraman, Arun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321520/
https://www.ncbi.nlm.nih.gov/pubmed/33950197
http://dx.doi.org/10.1093/molbev/msab113
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author Webb, Andrew
Knoblauch, Jared
Sabankar, Nitesh
Kallur, Apeksha Sukesh
Hey, Jody
Sethuraman, Arun
author_facet Webb, Andrew
Knoblauch, Jared
Sabankar, Nitesh
Kallur, Apeksha Sukesh
Hey, Jody
Sethuraman, Arun
author_sort Webb, Andrew
collection PubMed
description The Pop-Gen Pipeline Platform (PPP) is a software platform for population genomic analyses. The PPP was designed as a collection of scripts that facilitate common population genomic workflows in a consistent and standardized Python environment. Functions were developed to encompass entire workflows, including input preparation, file format conversion, various population genomic analyses, and output generation. The platform has also been developed with reproducibility and extensibility of analyses in mind. The PPP is an open-source package that is available for download and use at https://ppp.readthedocs.io/en/latest/PPP_pages/install.html.
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spelling pubmed-83215202021-07-30 The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses Webb, Andrew Knoblauch, Jared Sabankar, Nitesh Kallur, Apeksha Sukesh Hey, Jody Sethuraman, Arun Mol Biol Evol Resources The Pop-Gen Pipeline Platform (PPP) is a software platform for population genomic analyses. The PPP was designed as a collection of scripts that facilitate common population genomic workflows in a consistent and standardized Python environment. Functions were developed to encompass entire workflows, including input preparation, file format conversion, various population genomic analyses, and output generation. The platform has also been developed with reproducibility and extensibility of analyses in mind. The PPP is an open-source package that is available for download and use at https://ppp.readthedocs.io/en/latest/PPP_pages/install.html. Oxford University Press 2021-05-05 /pmc/articles/PMC8321520/ /pubmed/33950197 http://dx.doi.org/10.1093/molbev/msab113 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (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 Resources
Webb, Andrew
Knoblauch, Jared
Sabankar, Nitesh
Kallur, Apeksha Sukesh
Hey, Jody
Sethuraman, Arun
The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title_full The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title_fullStr The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title_full_unstemmed The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title_short The Pop-Gen Pipeline Platform: A Software Platform for Population Genomic Analyses
title_sort the pop-gen pipeline platform: a software platform for population genomic analyses
topic Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321520/
https://www.ncbi.nlm.nih.gov/pubmed/33950197
http://dx.doi.org/10.1093/molbev/msab113
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