Published April 1, 2025 | Version v1
Software Open

DGrowthR-App: Statistical end-to-end analysis of large-scale microbial growth data

  • 1. EDMO icon Helmholtz Munich
  • 2. ROR icon Ludwig-Maximilians-Universität München

Description

DGrowthR-App

A standalone application for the integrative analysis of large growth experiments. DGrowthR-App comprises methods for data pre-processing and standardization, exploratory functional data analysis, and non-parametric modeling of growth curves using Gaussian Process regression. Importantly, DGrowthR-App includes a rigorous statistical testing framework for differential growth analysis.

This download provides the standalone application for Apple Mac (Intel and Arm) and Windows platforms.

Data Format: DGrowthR-App accepts input data in a specific format. Here's an example of OD measurement data:

Time dCBASS_1_OD_A1 dCBASS_1_OD_A2 dCBASS_1_OD_A3
0 0.05 0.03 0.3
1 0.1 0.05 0.4
2 0.2 0.08 0.5

 

Metadata Format: The application also requires metadata in the following format:

curve_id genotype_well well plate_name file_id genotype Rep_Nr Drug ConcMock
dCBASS_1_OD_A1 dCBASS_A1 A1 dCBASS_1_OD dCBASS_1_OD.txt dCBASS 1 2,3-DHBA 1
dCBASS_1_OD_A2 dCBASS_A2 A2 dCBASS_1_OD dCBASS_1_OD.txt dCBASS 1 2,3-DHBA 2
dCBASS_1_OD_A3 dCBASS_A3 A3 dCBASS_1_OD dCBASS_1_OD.txt dCBASS 1 4-aminosalicylic acid 1

Privacy Note: Using this download, you don't have to upload your data anywhere. You can use the software on your computer locally, ensuring your research data remains completely private and secure.

For the complete R package and documentation, please visit:

Files

Apple.zip

Files (630.1 MB)

Name Size Download all
md5:ca360c8da545d4eacb8278c75311c675
395.1 MB Preview Download
md5:5ad6a4a3747a41a7a2d44cb4816eff73
235.0 MB Preview Download

Additional details

Additional titles

Alternative title
DGrowthR-App

Software

Repository URL
https://github.com/bio-datascience/DGrowthR
Programming language
R
Development Status
Active