# BAYAS: simplifying access to Bayesian analysis for biologists

**Authors:** Christoph Waterkamp, Daniel Hoffmann

PMC · DOI: 10.1093/bioinformatics/btaf276 · 2025-06-13

## TL;DR

BAYAS is a user-friendly web tool that makes Bayesian analysis accessible to biologists without requiring programming skills.

## Contribution

BAYAS introduces a programming-free, web-based platform for Bayesian analysis tailored to biologists.

## Key findings

- BAYAS includes modules for sample size planning, data evaluation, and analysis reporting.
- The tool emphasizes transparency and reproducibility in Bayesian workflows.
- BAYAS is freely available for use and open-source for modification.

## Abstract

In biological research, complex and noisy biological systems with small effects are often studied with small sample sizes. Such a setting is ideal for Bayesian analysis as it supplements new data with prior knowledge and emphasizes uncertainty quantification. Unfortunately, the proper application of Bayesian analysis requires a degree of computational expertise beyond the training of many biologists.

We have developed BAYAS (BAYesian Analysis Simplified), a web-based tool that provides programming-free access to Bayesian workflows for numerous use cases. BAYAS comes with three modules: Planning for Bayesian determination of sample sizes; Evaluation for Bayesian analysis of experimental data; Report to make analyses transparent and reproducible.

BAYAS can be accessed freely at https://bayas.zmb.uni-due.de/app/bayas (server) and https://github.com/GitCJW/bayas_bioinformatics or https://doi.org/10.5281/zenodo.15052467 (source).

## Full-text entities

- **Diseases:** OFT (MESH:D013736)
- **Species:** Mus musculus (house mouse, species) [taxon 10090]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12199779/full.md

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Source: https://tomesphere.com/paper/PMC12199779