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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.
  • van der Putten BCL; Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, the Netherlands.
  • Mendes CI; Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam UMC, University of Amsterdam, the Netherlands.
  • Talbot BM; Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • de Korne-Elenbaas J; Department of Biological and Biomedical Sciences, Emory University, Atlanta, GA, USA.
  • Mamede R; Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, the Netherlands.
  • Vila-Cerqueira P; Department of Infectious Diseases, Public Health Laboratory, Public Health Service of Amsterdam, the Netherlands.
  • Coelho LP; Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • Gulvik CA; Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
  • Katz LS; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, PR China.
  • The Asm Ngs Hackathon Participants; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, PR China.
Microb Genom ; 8(3)2022 03.
Article en En | MEDLINE | ID: mdl-35259087
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Tipo de estudio: Guideline País como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Biología Computacional Tipo de estudio: Guideline País como asunto: America do norte Idioma: En Año: 2022 Tipo del documento: Article