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Protocol for post-processing of bacterial pangenome data using Pagoo pipeline
Multiple downstream analyses are necessary to interpret the output of bacterial pangenome reconstruction software. This requires integrating diverse kinds of genetic and phenotypic data, which to date are left to each user’s criterion. To fill this gap, we created Pagoo, a pangenome post-processing...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487088/ https://www.ncbi.nlm.nih.gov/pubmed/34632414 http://dx.doi.org/10.1016/j.xpro.2021.100802 |
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author | Ferrés, Ignacio Iraola, Gregorio |
author_facet | Ferrés, Ignacio Iraola, Gregorio |
author_sort | Ferrés, Ignacio |
collection | PubMed |
description | Multiple downstream analyses are necessary to interpret the output of bacterial pangenome reconstruction software. This requires integrating diverse kinds of genetic and phenotypic data, which to date are left to each user’s criterion. To fill this gap, we created Pagoo, a pangenome post-processing tool that leverages a standardized but flexible and extensible framework for data integration, analysis, and storage. Here, we provide the protocol for running Pagoo and performing from simple to more complex comparative analyses on bacterial pangenome data. For complete details on the use and execution of this protocol, please refer to Ferrés and Iraola (2021). |
format | Online Article Text |
id | pubmed-8487088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84870882021-10-07 Protocol for post-processing of bacterial pangenome data using Pagoo pipeline Ferrés, Ignacio Iraola, Gregorio STAR Protoc Protocol Multiple downstream analyses are necessary to interpret the output of bacterial pangenome reconstruction software. This requires integrating diverse kinds of genetic and phenotypic data, which to date are left to each user’s criterion. To fill this gap, we created Pagoo, a pangenome post-processing tool that leverages a standardized but flexible and extensible framework for data integration, analysis, and storage. Here, we provide the protocol for running Pagoo and performing from simple to more complex comparative analyses on bacterial pangenome data. For complete details on the use and execution of this protocol, please refer to Ferrés and Iraola (2021). Elsevier 2021-09-29 /pmc/articles/PMC8487088/ /pubmed/34632414 http://dx.doi.org/10.1016/j.xpro.2021.100802 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Ferrés, Ignacio Iraola, Gregorio Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title | Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title_full | Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title_fullStr | Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title_full_unstemmed | Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title_short | Protocol for post-processing of bacterial pangenome data using Pagoo pipeline |
title_sort | protocol for post-processing of bacterial pangenome data using pagoo pipeline |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8487088/ https://www.ncbi.nlm.nih.gov/pubmed/34632414 http://dx.doi.org/10.1016/j.xpro.2021.100802 |
work_keys_str_mv | AT ferresignacio protocolforpostprocessingofbacterialpangenomedatausingpagoopipeline AT iraolagregorio protocolforpostprocessingofbacterialpangenomedatausingpagoopipeline |