Haris Zafeiropoulos

GrowthDB is a repository for microbial growth curve data that allows querying, visualization, and sharing of growth and metabolite profiles from monocultures and communities.

microbetag enhances microbial network interpretation by annotating nodes with phenotypic traits and edges with metabolic complementarities, using a database of annotated genomes.

The paper presents a marine biodiversity dataset from ARMS-MBON 2018-2020, showing its potential for ecological research and monitoring.

This paper introduces DNNGIOR, a deep learning method to improve genome-scale metabolic models of incomplete genomes by imputing missing reactions based on reaction frequency and phylogenetic distance.

dingo samples metabolic flux spaces efficiently using advanced random walks and rounding methods, outperforming existing tools for large models.

The paper introduces DARN, a tool to analyze COI amplicon data, revealing that bacterial and archaeal sequences are often present in eDNA samples and should be included in reference databases.

PEMA streamlines metabarcoding analysis by containerizing tools for 16S rRNA and COI data, enabling efficient and customizable processing pipelines.