Publications TrialMatchAI: Advancing Precision Oncology with Open-Source Innovation We are proud to announce the publication of TrialMatchAI in Nature Communications (https://www.nature.com/articles/s41467-026-70509-w), a groundbreaking project developed as part of the EU EOSC4Cancer initiative. This work addresses a critical challenge in precision oncology: matching patients to relevant clinical trials using heterogeneous clinical data, including structured
Publications 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
Publications Deep Learning for automatic signal enhancement in biological imaging Deep Learning for mRNA spot enhancement in fluorescent microscopy FISH images
Publications Population genomics of apricots unravels domestication history and adaptive events Among crop fruit trees, the apricot (Prunus armeniaca) provides an excellent model to study divergence and adaptation processes. Here, we obtain nearly 600 armeniaca apricot genomes and four high-quality assemblies anchored on genetic maps. Chinese and European apricots form two differentiated gene pools with high genetic diversity, resulting from independent
Publications DypFISH Dynamic Patterned FISH to Interrogate RNA and Protein Spatial and Temporal Subcellular Distribution > Anca F. Savulescu, Robyn Brackin, Emmanuel Bouilhol, Benjamin Dartigues, Jonathan H. Warrell, Mafalda R. Pimentel, Nicolas Beaume, Isabela C. Fortunato, Stephane Dallongeville, Mikaël Boulle, Hayssam Soueidan, Fabrice Agou, Jan Schmoranzer, Jean-Christophe Olivo-Marin, Claudio A. Franco, Edgar
