CB&B

Computational Biology and Bioinformatics Lab in Bordeaux

TrialMatchAI: Harnessing Large Language Models (LLMs) to Match Cancer Patients with Molecularly-driven Clinical Trials – Part of the European Open Science Cloud for Cancer Project

TrialMatchAI: Harnessing Large Language Models (LLMs) to Match Cancer Patients with Molecularly-driven Clinical Trials – Part of the European Open Science Cloud for Cancer Project

Introduction In the fast-growing landscape of cancer treatment, the paradigm is shifting towards personalized medicine—a tailored approach that recognizes the unique genetic and clinical characteristics of cancer patients. At the core of this paradigm shift are precision clinical trials that drive advancements in personalized cancer therapeutics. By matching patients

21/02 Professor Daniel Gautheret :  RNA discovery in tumor samples through k-mer analysis
Seminars

21/02 Professor Daniel Gautheret : RNA discovery in tumor samples through k-mer analysis

Orateur : Daniel Gautheret,  Institute for Integrative Biology of the Cell, CNRS, CEA, Université Paris-Sud, Orsay Lieu : Centre de Génomique Fonctionnelle (salle des conférences, 1ème étage) Titre: "RNA discovery in tumor samples through k-mer analysis" Abstract: I will present the use of k-mer tools for reference-free analysis of RNA-seq samples. Applying

Population genomics of apricots unravels domestication history and adaptive events
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

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