Maximillian P. M. Soltysiak

The paper identifies a gene mutation responsible for slime-free phenotype in Xanthobacter strains and shows its deletion abolishes slime production across the genus.

This paper expands and revises the genus Xanthobacter by describing 18 species and proposing a new genus Roseixanthobacter with 5 species, based on genome sequencing and phylogenomic analysis.

This study shows that environmental factors like temperature and pH leave a detectable genomic signature in extremophiles, using machine learning to analyze k-mer frequencies across genomes.

SomaticSiMu simulates mutational signatures in genomic sequences and evaluates its reliability using machine learning and mutational signature extraction.

The paper develops a method to generate designer algal mitochondrial genomes using yeast and E. coli hosts for efficient DNA cloning and testing.

This paper uses machine learning and genomic signatures to classify novel pathogens, demonstrating high accuracy in identifying the origin and taxonomy of the COVID-19 virus.