Benjamín J. Sánchez

CRI-SPA transfers genetic features between yeast strains to map sequence to function, demonstrating its ability to transfer genes for betaxanthin production across a yeast knock-out collection.

Standard-GEM provides a template for reproducible genome-scale metabolic model development following FAIR principles and software best practices.

The paper upgrades the GECKO method to create enzyme-constrained models for yeast and human, revealing common metabolic adaptations under stress.

This study benchmarks the accuracy and precision of intensity-based protein quantification methods in yeast using mass spectrometry.

Memote, open-source Python software, runs a community-maintained, partly scored test suite (consistency, biomass, annotations, optional experimental data) on SBML-encoded genome-scale metabolic models, once or through continuous integration.

SLIMEr improves genome-scale metabolic models by accurately representing lipid requirements using experimental data, enabling analysis of lipid distribution flexibility and energy costs in yeast.

RAVEN 2.0 is a toolbox for metabolic network reconstruction, demonstrating its ability to generate accurate GEMs for Streptomyces coelicolor and improve existing models.