INsulin Secretion ANalysEr R package insane version 1.0.3 A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>). Software Depends: R (>= 3.6.0) Imports: stats, utils, broom (>= 0.5.6), dplyr (>= 1.0.0), DT (>= 0.13), ggplot2 (>= 3.3.2), ggpubr (>= 0.3.0), glue (>= 1.4.1), patchwork (>= 1.0.1), purrr (>= 0.3.4), readxl (>= 1.3.1), shiny (>= 1.5.0), tidyr (>= 1.1.0) Suggests: covr (>= 3.5.0), roxygen2 (>= 7.1.0), knitr (>= 1.29), testthat (>= 2.3.2), rmarkdown (>= 2.3) Mickaël Canouil <pro@mickael.canouil.dev> Comprehensive R Archive Network (CRAN) Mickaël Canouil [aut, cre] (ORCID: <https://orcid.org/0000-0002-3396-4549>) MIT + file LICENSE (https://CRAN.R-project.org/package=insane/LICENSE) 2023-11-14 application/tgz https://CRAN.R-project.org/package=insane doi:10.32614/CRAN.package.insane