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Application of Machine Learning in Microbiology

Microorganisms are ubiquitous and closely related to people’s daily lives. Since they were first discovered in the 19th century, researchers have shown great interest in microorganisms. People studied microorganisms through cultivation, but this method is expensive and time consuming. However, the c...

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Detalles Bibliográficos
Autores principales: Qu, Kaiyang, Guo, Fei, Liu, Xiangrong, Lin, Yuan, Zou, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482238/
https://www.ncbi.nlm.nih.gov/pubmed/31057526
http://dx.doi.org/10.3389/fmicb.2019.00827
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author Qu, Kaiyang
Guo, Fei
Liu, Xiangrong
Lin, Yuan
Zou, Quan
author_facet Qu, Kaiyang
Guo, Fei
Liu, Xiangrong
Lin, Yuan
Zou, Quan
author_sort Qu, Kaiyang
collection PubMed
description Microorganisms are ubiquitous and closely related to people’s daily lives. Since they were first discovered in the 19th century, researchers have shown great interest in microorganisms. People studied microorganisms through cultivation, but this method is expensive and time consuming. However, the cultivation method cannot keep a pace with the development of high-throughput sequencing technology. To deal with this problem, machine learning (ML) methods have been widely applied to the field of microbiology. Literature reviews have shown that ML can be used in many aspects of microbiology research, especially classification problems, and for exploring the interaction between microorganisms and the surrounding environment. In this study, we summarize the application of ML in microbiology.
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spelling pubmed-64822382019-05-03 Application of Machine Learning in Microbiology Qu, Kaiyang Guo, Fei Liu, Xiangrong Lin, Yuan Zou, Quan Front Microbiol Microbiology Microorganisms are ubiquitous and closely related to people’s daily lives. Since they were first discovered in the 19th century, researchers have shown great interest in microorganisms. People studied microorganisms through cultivation, but this method is expensive and time consuming. However, the cultivation method cannot keep a pace with the development of high-throughput sequencing technology. To deal with this problem, machine learning (ML) methods have been widely applied to the field of microbiology. Literature reviews have shown that ML can be used in many aspects of microbiology research, especially classification problems, and for exploring the interaction between microorganisms and the surrounding environment. In this study, we summarize the application of ML in microbiology. Frontiers Media S.A. 2019-04-18 /pmc/articles/PMC6482238/ /pubmed/31057526 http://dx.doi.org/10.3389/fmicb.2019.00827 Text en Copyright © 2019 Qu, Guo, Liu, Lin and Zou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Qu, Kaiyang
Guo, Fei
Liu, Xiangrong
Lin, Yuan
Zou, Quan
Application of Machine Learning in Microbiology
title Application of Machine Learning in Microbiology
title_full Application of Machine Learning in Microbiology
title_fullStr Application of Machine Learning in Microbiology
title_full_unstemmed Application of Machine Learning in Microbiology
title_short Application of Machine Learning in Microbiology
title_sort application of machine learning in microbiology
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482238/
https://www.ncbi.nlm.nih.gov/pubmed/31057526
http://dx.doi.org/10.3389/fmicb.2019.00827
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