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A software package for immunologists to learn simulation modeling

BACKGROUND: As immunology continues to become more quantitative, increasingly sophisticated computational tools are commonly used. One useful toolset are simulation models. Becoming familiar with such models and their uses generally requires writing computer code early in the learning process. This...

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Detalles Bibliográficos
Autor principal: Handel, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941246/
https://www.ncbi.nlm.nih.gov/pubmed/31898481
http://dx.doi.org/10.1186/s12865-019-0321-0
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author Handel, Andreas
author_facet Handel, Andreas
author_sort Handel, Andreas
collection PubMed
description BACKGROUND: As immunology continues to become more quantitative, increasingly sophisticated computational tools are commonly used. One useful toolset are simulation models. Becoming familiar with such models and their uses generally requires writing computer code early in the learning process. This poses a barrier for individuals who do not have prior coding experience. RESULTS: To help reduce this barrier, I wrote software that teaches the use of mechanistic simulation models to study infection and immune response dynamics, without the need to read or write computer code. The software, called Dynamical Systems Approach to Immune Response Modeling (DSAIRM), is implemented as a freely available package for the R programming language. The target audience are immunologists and other scientists with no or little coding experience. DSAIRM provides a hands-on introduction to simulation models, teaches the basics of those models and what they can be used for. Here, I describe the DSAIRM R package, explain the different ways the package can be used, and provide a few introductory examples. CONCLUSIONS: Working through DSAIRM will equip individuals with the knowledge needed to critically assess studies using simulation models in the published literature and will help them understand when such a modeling approach might be suitable for their own research. DSAIRM also provides users a potential starting point towards development and use of simulation models in their own research.
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spelling pubmed-69412462020-01-06 A software package for immunologists to learn simulation modeling Handel, Andreas BMC Immunol Software BACKGROUND: As immunology continues to become more quantitative, increasingly sophisticated computational tools are commonly used. One useful toolset are simulation models. Becoming familiar with such models and their uses generally requires writing computer code early in the learning process. This poses a barrier for individuals who do not have prior coding experience. RESULTS: To help reduce this barrier, I wrote software that teaches the use of mechanistic simulation models to study infection and immune response dynamics, without the need to read or write computer code. The software, called Dynamical Systems Approach to Immune Response Modeling (DSAIRM), is implemented as a freely available package for the R programming language. The target audience are immunologists and other scientists with no or little coding experience. DSAIRM provides a hands-on introduction to simulation models, teaches the basics of those models and what they can be used for. Here, I describe the DSAIRM R package, explain the different ways the package can be used, and provide a few introductory examples. CONCLUSIONS: Working through DSAIRM will equip individuals with the knowledge needed to critically assess studies using simulation models in the published literature and will help them understand when such a modeling approach might be suitable for their own research. DSAIRM also provides users a potential starting point towards development and use of simulation models in their own research. BioMed Central 2020-01-02 /pmc/articles/PMC6941246/ /pubmed/31898481 http://dx.doi.org/10.1186/s12865-019-0321-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Handel, Andreas
A software package for immunologists to learn simulation modeling
title A software package for immunologists to learn simulation modeling
title_full A software package for immunologists to learn simulation modeling
title_fullStr A software package for immunologists to learn simulation modeling
title_full_unstemmed A software package for immunologists to learn simulation modeling
title_short A software package for immunologists to learn simulation modeling
title_sort software package for immunologists to learn simulation modeling
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941246/
https://www.ncbi.nlm.nih.gov/pubmed/31898481
http://dx.doi.org/10.1186/s12865-019-0321-0
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