Maja Zagorščak

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.

BoolDog is a Python package for Boolean and semi-quantitative network modeling, enabling simulation, analysis, and integration with continuous ODE systems.

The paper identifies miR160's role in regulating class III peroxidase via StARF10/17 and its integration of SA and ROS signaling during potato hypersensitive response to PVY.

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 identifies StPTI5 as a transcription factor that regulates plant-microbe interactions by modulating immune responses and microbial colonization in potato.

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 introduces Stress Knowledge Map, a resource with two knowledge graphs for plant stress responses, and demonstrates its use in hypothesis generation and analysis.

pISA-tree organizes life science research data using a standardized directory structure based on the ISA model, enabling metadata generation and integration with bioinformatics pipelines and repositories.