Johanna Galvis

Open-source tool for the differential analysis of metabolomics data and omics integration: DIMet

Labeled Metabolomics data analysis and integration with DIMet

We’re excited to introduce DIMet (https://github.com/cbib/DIMet/wiki), a powerful tool for the differential analysis of isotope-labeled metabolomics data, developed by our team and recently published in Bioinformatics (Galvis J. et al., 2024; https://doi.org/10.1093/bioinformatics/btae282). DIMet is designed specifically for isotope-labeled

Projects

Bioinformatics for the study of metabolism in glioblastoma

Development of omics data integration methods to elucidate the GB invasiveness

Team

About us

Computational Biology and Bioinformatics is an interdisciplinary team at the CNRS institute in Bordeaux focused on multi-omics and imaging data integration. Our two main pillars are 1) Tackling real biological problems and 2) Combining different areas of technical expertise ...