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G2GSnake: a Snakemake workflow for host–pathogen genomic association studies

SUMMARY: Joint analyses of paired host and pathogen genome sequences have the potential to enhance our understanding of host–pathogen interactions. A systematic approach to conduct such a joint analysis is through a “genome-to-genome” (G2G) association study, which involves testing for associations...

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Autores principales: Xu, Zhi Ming, Naret, Olivier, Oumelloul, Mariam Ait, Fellay, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576169/
https://www.ncbi.nlm.nih.gov/pubmed/37840906
http://dx.doi.org/10.1093/bioadv/vbad142
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author Xu, Zhi Ming
Naret, Olivier
Oumelloul, Mariam Ait
Fellay, Jacques
author_facet Xu, Zhi Ming
Naret, Olivier
Oumelloul, Mariam Ait
Fellay, Jacques
author_sort Xu, Zhi Ming
collection PubMed
description SUMMARY: Joint analyses of paired host and pathogen genome sequences have the potential to enhance our understanding of host–pathogen interactions. A systematic approach to conduct such a joint analysis is through a “genome-to-genome” (G2G) association study, which involves testing for associations between all host and pathogen genetic variants. Significant associations reveal host genetic factors that might drive pathogen variation, highlighting biological mechanisms likely to be involved in host control and pathogen escape. Here, we present a Snakemake workflow that allows researchers to conduct G2G studies in a reproducible and scalable manner. In addition, we have developed an intuitive R Shiny application that generates custom summaries of the results, enabling users to derive relevant insights. AVAILABILITY AND IMPLEMENTATION: G2GSnake is freely available at: https://github.com/zmx21/G2GSnake under the MIT license.
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spelling pubmed-105761692023-10-15 G2GSnake: a Snakemake workflow for host–pathogen genomic association studies Xu, Zhi Ming Naret, Olivier Oumelloul, Mariam Ait Fellay, Jacques Bioinform Adv Application Note SUMMARY: Joint analyses of paired host and pathogen genome sequences have the potential to enhance our understanding of host–pathogen interactions. A systematic approach to conduct such a joint analysis is through a “genome-to-genome” (G2G) association study, which involves testing for associations between all host and pathogen genetic variants. Significant associations reveal host genetic factors that might drive pathogen variation, highlighting biological mechanisms likely to be involved in host control and pathogen escape. Here, we present a Snakemake workflow that allows researchers to conduct G2G studies in a reproducible and scalable manner. In addition, we have developed an intuitive R Shiny application that generates custom summaries of the results, enabling users to derive relevant insights. AVAILABILITY AND IMPLEMENTATION: G2GSnake is freely available at: https://github.com/zmx21/G2GSnake under the MIT license. Oxford University Press 2023-10-04 /pmc/articles/PMC10576169/ /pubmed/37840906 http://dx.doi.org/10.1093/bioadv/vbad142 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
Xu, Zhi Ming
Naret, Olivier
Oumelloul, Mariam Ait
Fellay, Jacques
G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title_full G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title_fullStr G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title_full_unstemmed G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title_short G2GSnake: a Snakemake workflow for host–pathogen genomic association studies
title_sort g2gsnake: a snakemake workflow for host–pathogen genomic association studies
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576169/
https://www.ncbi.nlm.nih.gov/pubmed/37840906
http://dx.doi.org/10.1093/bioadv/vbad142
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