bioRxivMicrobiologyPreprint
No-code microbial growth phenotyping with GUIbiont
Edgar Zanella AlvarengaiD, Edoardo OltoliniiD, Fernanda PinheiroiD
Abstract
Microbial growth screens generate thousands of curves, but cross-experiment comparison and mapping growth phenotypes to genotypes or environments routinely require custom code. GUIbiont is a no-code browser application for quality control, curve fitting, clustering and metadata-linked analysis with machine learning techniques. Interactive sessions export as Julia scripts, allowing users to reproduce or extend browser analyses. Validated across 3,885 E. coli deletion strains and 13,608 defined-media curves, GUIbiont recovered known auxotrophic and nutrient-dependent phenotypes.
- organism: E. coli
- assay: metagenomics
- research focus: clustering
- approach: machine learning (classical)
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Dashing Growth Curves - a web application for rapid and interactive analysis of microbial growth curves
Michael A. Reiter, Julia A. Vorholt·BMC BioinformaticsPeer-reviewed·Feb 12, 2024
- μGrowthDB: querying, visualizing, and sharing microbial growth curve data
Andrew Radev, Julia Casado Gomez-Pallete, … Haris Zafeiropoulos·bioRxiv·Oct 13, 2025
- growthcurves: A platform for human-in-the-loop analysis of biological growth curves
Samuel A. Bradley, Henry Emanuel Webel, … Carlos G. Acevedo‐Rocha·bioRxiv·May 31, 2026
- OmniBio: An Easy-to-Use Web App for Kinetic Growth Parameter Calculation from Microplate Reader Data
Sebastian Dehnhardt-Amengual, Catalina Ardiles, … Wladimir Mardones·Bioinformatics AdvancesPeer-reviewed·Jan 1, 2026
- Kinbiont: From time series to ecological and evolutionary responses in microbial systems
Fabrizio Angaroni, Alberto Peruzzi, … Fernanda Pinheiro·Nature CommunicationsPeer-reviewed·Jul 11, 2025
- Scan-o-matic: high-resolution microbial phenomics at a massive scale
Martin Zackrisson, Johan Hallin, … Anders Blomberg·bioRxiv·Nov 12, 2015