Marek Mutwil

The paper introduces Malaria.tools, a database that integrates genomic and transcriptomic data from Plasmodium species to predict gene function and identify pathogenicity-related genes.

CoNekT provides a web-based framework for comparative genomic and transcriptomic network analysis, enabling cross-species studies of gene expression and co-expression networks.

PhytoNet integrates gene expression data from phytoplankton and land plants to identify co-expressed genes and conserved transcriptional programs across species.

The paper presents an ensemble gene function prediction method for Arabidopsis thaliana and identifies genes involved in mitochondrial complex I formation.

This study identifies AtRsgA as a chloroplast ribosome assembly factor and shows its role in plant viability and chloroplast function through transcriptomic and proteomic analysis of mutants.