I’m sharing BIOSZEN 2.1.1, an R/Shiny application and R package for reproducible statistical analysis, microbial growth-curve characterization, and scientific visualization from Excel workbooks. It is intended for researchers who want to analyze experimental data and generate customizable, figures without writing code.

BIOSZEN generates boxplots, bar plots, violin plots, growth curves, stacked plots, heatmaps, and correlation plots. It supports normalized-data workflows and includes Shapiro–Wilk, Kolmogorov–Smirnov, and Anderson–Darling normality tests, together with ANOVA, Kruskal–Wallis, Student’s t-test, and Wilcoxon tests.

For microbial growth curves, BIOSZEN extracts parameters such as uMax, max_percap_time, doubling time, lag time, ODmax, max_time, area under the curve, and initial optical density. Results can be exported as processed Excel workbooks, statistical summaries, analysis metadata, scientific graphics, and editable vector PowerPoint (.pptx) figures.

Installation

BIOSZEN is available through R-universe and can be installed directly from R:

install.packages(
  "BIOSZEN",
  repos = c(
    "https://bioszen.r-universe.dev",
    "https://cloud.r-project.org"
  )
)

Launch the application with:

BIOSZEN::BIOSZEN()

It can also be opened from the RStudio Addins menu.

A limited online version is available for testing before local installation:

https://bioszen-test.share.connect.posit.cloud

Release files and documentation are available on Zenodo:

https://zenodo.org/records/18217210

Citation

Szenfeld, B. (2026). BIOSZEN (Version 2.1.1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.21765136

Feedback, bug reports, and suggestions are welcome.