Head of Artificial Intelligence and Gene Regulation, IGH, Montpellier
“Artificial Intelligence empowers transcriptomics but will ultimately cause its demise"
The seminar in short:
In my talk, I will show how simple information theory concepts such as entropy and information content allow scientists to better understand gene regulation in numerous types of disease. I will then demonstrate that recent advances in artificial intelligence approaches such as genetic programming and neural nets may be so powerful that they abrogate our need to understand these functions at all. Recent research in my team will show how AI allows us to explore sequencing data from cancer samples with no a priori and is more powerful than current approaches for classifying and predicting outcomes.
"Single cell transcriptomics and proteomics"
Résumé de la présentation : High-throughput, single-cell expression measurements enable discovery of gene expression dynamics for profiling individual cell types. The Chromium Single Cell Controller which is a dedicated instrument for single cell applications and features a simple and comprehensive workflow, enabling users to quickly and easily prepare single cell sequencing libraries in less than one workday.
With the unique ability to interrogate hundreds to millions of cells, the Single Cell Chromium Controller supports a variety of applications, including the existing Chromium™ Single Cell 3’ Solution, as well as a future product featuring to perform full-length sequencing of V(D)J segments from single B or T cells. The system is accompanied by Chromium Single Cell 3’ Reagent Kits with advanced chemistry and microfluidics consumables based on GemCode™ Technology and features full compatibility with the Illumina® HiSeq® 4000 and other HiSeq®, NovaSeq®, NextSeq® and MiSeq® sequencers.
Département d’Oncologie Moléculaire Institut Paoli Calmettes, Marseille
“Profilage oncogénomique des cancers avancés dans les essais PANDORA et PERMED à l’IPC"