Cargando…

BioRssay: an R package for analyses of bioassays and probit graphs

Dose–response relationships reflect the effects of a substance on organisms, and are widely used in broad research areas, from medicine and physiology, to vector control and pest management in agronomy. Furthermore, reporting on the response of organisms to stressors is an essential component of man...

Descripción completa

Detalles Bibliográficos
Autores principales: Karunarathne, Piyal, Pocquet, Nicolas, Labbé, Pierrick, Milesi, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785564/
https://www.ncbi.nlm.nih.gov/pubmed/35073988
http://dx.doi.org/10.1186/s13071-021-05146-x
_version_ 1784638989447200768
author Karunarathne, Piyal
Pocquet, Nicolas
Labbé, Pierrick
Milesi, Pascal
author_facet Karunarathne, Piyal
Pocquet, Nicolas
Labbé, Pierrick
Milesi, Pascal
author_sort Karunarathne, Piyal
collection PubMed
description Dose–response relationships reflect the effects of a substance on organisms, and are widely used in broad research areas, from medicine and physiology, to vector control and pest management in agronomy. Furthermore, reporting on the response of organisms to stressors is an essential component of many public policies (e.g. public health, environment), and assessment of xenobiotic responses is an integral part of World Health Organization recommendations. Building upon an R script that we previously made available, and considering its popularity, we have now developed a software package in the R environment, BioRssay, to efficiently analyze dose–response relationships. It has more user-friendly functions and more flexibility, and proposes an easy interpretation of the results. The functions in the BioRssay package are built on robust statistical analyses to compare the dose/exposure–response of various bioassays and effectively visualize them in probit-graphs. GRAPHICAL ABSTRACT: [Image: see text]
format Online
Article
Text
id pubmed-8785564
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87855642022-01-24 BioRssay: an R package for analyses of bioassays and probit graphs Karunarathne, Piyal Pocquet, Nicolas Labbé, Pierrick Milesi, Pascal Parasit Vectors Short Report Dose–response relationships reflect the effects of a substance on organisms, and are widely used in broad research areas, from medicine and physiology, to vector control and pest management in agronomy. Furthermore, reporting on the response of organisms to stressors is an essential component of many public policies (e.g. public health, environment), and assessment of xenobiotic responses is an integral part of World Health Organization recommendations. Building upon an R script that we previously made available, and considering its popularity, we have now developed a software package in the R environment, BioRssay, to efficiently analyze dose–response relationships. It has more user-friendly functions and more flexibility, and proposes an easy interpretation of the results. The functions in the BioRssay package are built on robust statistical analyses to compare the dose/exposure–response of various bioassays and effectively visualize them in probit-graphs. GRAPHICAL ABSTRACT: [Image: see text] BioMed Central 2022-01-24 /pmc/articles/PMC8785564/ /pubmed/35073988 http://dx.doi.org/10.1186/s13071-021-05146-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Short Report
Karunarathne, Piyal
Pocquet, Nicolas
Labbé, Pierrick
Milesi, Pascal
BioRssay: an R package for analyses of bioassays and probit graphs
title BioRssay: an R package for analyses of bioassays and probit graphs
title_full BioRssay: an R package for analyses of bioassays and probit graphs
title_fullStr BioRssay: an R package for analyses of bioassays and probit graphs
title_full_unstemmed BioRssay: an R package for analyses of bioassays and probit graphs
title_short BioRssay: an R package for analyses of bioassays and probit graphs
title_sort biorssay: an r package for analyses of bioassays and probit graphs
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785564/
https://www.ncbi.nlm.nih.gov/pubmed/35073988
http://dx.doi.org/10.1186/s13071-021-05146-x
work_keys_str_mv AT karunarathnepiyal biorssayanrpackageforanalysesofbioassaysandprobitgraphs
AT pocquetnicolas biorssayanrpackageforanalysesofbioassaysandprobitgraphs
AT labbepierrick biorssayanrpackageforanalysesofbioassaysandprobitgraphs
AT milesipascal biorssayanrpackageforanalysesofbioassaysandprobitgraphs