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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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. |
format | Online Article Text |
id | pubmed-10576169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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