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

Piyal Karunarathne (1) , Nicolas Pocquet (2) , Pierrick Labbé (3, 4) , Pascal Milesi (1, 5)

1 Uppsala Universitet [Uppsala]
2 URE-EM - Entomologie médicale [Nouméa, Nouvelle-Calédonie]
3 IUF - Institut Universitaire de France
4 UMR ISEM - Institut des Sciences de l'Evolution de Montpellier
5 IMBIM/NBIS/SciLifeLab

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.

Keywords: Bioassays; Dose–response; Exposure–response; Lethal dose; Lethal exposure; Probit analysis

Domains: Computer Science [cs]

Piyal Karunarathne, Nicolas Pocquet, Pierrick Labbé, Pascal Milesi. BioRssay: an R package for analyses of bioassays and probit graphs. Parasites & Vectors, 2022, 15 (1), pp.35. ⟨10.1186/s13071-021-05146-x⟩. ⟨pasteur-03543352⟩