Jan Zrimec

This study predicts potato yield using drone and environmental data early in the growing season, achieving over 80% accuracy with models trained on limited data.

The paper develops a genome-scale metabolic model for potato to study growth-defence trade-offs by integrating primary and secondary metabolism and applying transcriptomics data from stress experiments.

The paper integrates multi-omics and phenotyping data to identify molecular signatures of potato responses to abiotic stresses.

The paper unifies potato gene models using an Apollo web server and provides a collaborative genome browser for annotation updates.

The paper trains a deep learning model to predict enzyme thermal adaptation using a dataset of enzymes labeled with optimal growth temperatures.

This paper introduces ExpressionGAN, a deep learning model that generates functional regulatory DNA with specified expression levels, outperforming random mutagenesis approaches.

The paper compares transcriptomic profiles of HEK293 cell lines producing erythropoietin or GFP to identify factors associated with improved erythropoietin production.

The paper assesses the global potential of microorganisms to degrade plastics by analyzing metagenomes and correlates enzyme abundance with pollution trends.

This paper introduces ProteinGAN, a GAN that generates functional protein sequences, showing 24% of generated sequences are soluble and active in vitro.

This paper uses Bayesian modeling to identify temperature-dependent enzymes in yeast metabolism, revealing squalene epoxidase as a key rate-limiting enzyme and demonstrating its role in thermotolerance.

The paper uses deep learning to show that gene expression levels are encoded in both coding and non-coding regions of the gene regulatory structure across multiple organisms.

PARADIAS deconvolves DIA spectra to improve quantification and identification of proteins by analyzing more ion data than traditional methods.

The paper identifies thousands of new DNA transfer substrates, revealing higher plasmid mobility and host range than previously known, linking environmental resistance to human pathogens.