Zdeněk Kubát

The paper develops a high-throughput minigene assay to identify pseudoexon-activating variants in the NF1 gene and benchmarks splicing prediction tools.

This study tracks how feather hydrolysate affects soil microbiome succession over 30 days, showing a shift toward copiotrophic and plant-beneficial taxa.

This study tests a 'nowhere-to-hide' model linking centromere architecture to LTR retrotransposon dynamics, finding that holocentric chromosomes show different patterns of element persistence and removal compared to monocentric ones.

The paper uses machine learning to classify plant LTR retrotransposons and identifies biologically relevant motifs through explainability analysis.

The paper develops a Hi-C data analysis pipeline to study repeat family interactions in plant genome 3D organization, finding preferential homotypic interactions among ribosomal DNA, transposons, and some LTR retrotransposons.