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Software testing in microbial bioinformatics: a call to action

Computational algorithms have become an essential component of research, with great efforts by the scientific community to raise standards on development and distribution of code. Despite these efforts, sustainability and reproducibility are major issues since continued validation through software t...

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Autores principales: van der Putten, Boas C.L., Mendes, C. I., Talbot, Brooke M., de Korne-Elenbaas, Jolinda, Mamede, Rafael, Vila-Cerqueira, Pedro, Coelho, Luis Pedro, Gulvik, Christopher A., Katz, Lee S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176277/
https://www.ncbi.nlm.nih.gov/pubmed/35259087
http://dx.doi.org/10.1099/mgen.0.000790
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author van der Putten, Boas C.L.
Mendes, C. I.
Talbot, Brooke M.
de Korne-Elenbaas, Jolinda
Mamede, Rafael
Vila-Cerqueira, Pedro
Coelho, Luis Pedro
Gulvik, Christopher A.
Katz, Lee S.
author_facet van der Putten, Boas C.L.
Mendes, C. I.
Talbot, Brooke M.
de Korne-Elenbaas, Jolinda
Mamede, Rafael
Vila-Cerqueira, Pedro
Coelho, Luis Pedro
Gulvik, Christopher A.
Katz, Lee S.
author_sort van der Putten, Boas C.L.
collection PubMed
description Computational algorithms have become an essential component of research, with great efforts by the scientific community to raise standards on development and distribution of code. Despite these efforts, sustainability and reproducibility are major issues since continued validation through software testing is still not a widely adopted practice. Here, we report seven recommendations that help researchers implement software testing in microbial bioinformatics. We have developed these recommendations based on our experience from a collaborative hackathon organised prior to the American Society for Microbiology Next Generation Sequencing (ASM NGS) 2020 conference. We also present a repository hosting examples and guidelines for testing, available from https://github.com/microbinfie-hackathon2020/CSIS.
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spelling pubmed-91762772022-06-09 Software testing in microbial bioinformatics: a call to action van der Putten, Boas C.L. Mendes, C. I. Talbot, Brooke M. de Korne-Elenbaas, Jolinda Mamede, Rafael Vila-Cerqueira, Pedro Coelho, Luis Pedro Gulvik, Christopher A. Katz, Lee S. Microb Genom Personal Views Computational algorithms have become an essential component of research, with great efforts by the scientific community to raise standards on development and distribution of code. Despite these efforts, sustainability and reproducibility are major issues since continued validation through software testing is still not a widely adopted practice. Here, we report seven recommendations that help researchers implement software testing in microbial bioinformatics. We have developed these recommendations based on our experience from a collaborative hackathon organised prior to the American Society for Microbiology Next Generation Sequencing (ASM NGS) 2020 conference. We also present a repository hosting examples and guidelines for testing, available from https://github.com/microbinfie-hackathon2020/CSIS. Microbiology Society 2022-03-08 /pmc/articles/PMC9176277/ /pubmed/35259087 http://dx.doi.org/10.1099/mgen.0.000790 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License.
spellingShingle Personal Views
van der Putten, Boas C.L.
Mendes, C. I.
Talbot, Brooke M.
de Korne-Elenbaas, Jolinda
Mamede, Rafael
Vila-Cerqueira, Pedro
Coelho, Luis Pedro
Gulvik, Christopher A.
Katz, Lee S.
Software testing in microbial bioinformatics: a call to action
title Software testing in microbial bioinformatics: a call to action
title_full Software testing in microbial bioinformatics: a call to action
title_fullStr Software testing in microbial bioinformatics: a call to action
title_full_unstemmed Software testing in microbial bioinformatics: a call to action
title_short Software testing in microbial bioinformatics: a call to action
title_sort software testing in microbial bioinformatics: a call to action
topic Personal Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176277/
https://www.ncbi.nlm.nih.gov/pubmed/35259087
http://dx.doi.org/10.1099/mgen.0.000790
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