Maja Zagorščak

Potato yield can be predicted using drone-captured and environmental measurements early in the growing season

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: integrated Boolean and semi-quantitative network modelling in Python

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

miR160 controls class III peroxidase via StARF10/17 and couples salicylic acid and ROS signaling networks in potato hypersensitive response to potato virus Y

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.

Evaluating plant growth-defence trade-offs by modelling the interaction between primary and secondary metabolism

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.

An ERF transcription factor StPTI5, a novel regulator of endophyte community maintenance in potato

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

Integration of multi-omics and deep phenotyping provides novel insights into multiple abiotic stress responses in potato

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

pISA-tree - a data management framework for life science research projects using a standardised directory tree

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.