Teams

Microbial communities and TIC

Machine Learning Made Easy (MLme) is a novel tool that simplifies machine learning (ML) for researchers. By integrating four essential functionalities, namely data exploration, AutoML, CustomML, and visualization, MLme fulfills the diverse requirements of researchers while eliminating the need for extensive coding efforts. MLme serves as a valuable resource that empowers researchers of all technical levels to leverage ML for insightful data analysis and enhance research outcomes. By simplifying ...

MOLGENIS team Genomics Coordination Center, Department of Genetics, University Medical Center Groningen (UMCG)

Green Team

Group Description: MTB Bioinformatics Workflows The MTB Bioinformatics Workflows group curates and shares reproducible, well-documented computational workflows focused on the analysis of Mycobacterium tuberculosis (MTB) genomic and proteomic data. Our aim is to support researchers, educators, and public health practitioners working on tuberculosis by providing accessible pipelines for genome assembly, annotation, variant analysis, gene expression profiling, protein sequence extraction, and ...

This project aims to develop tools that simplify the implementation of multi-analysis dynamic Functional Connectivity (dFC) assessment.