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| 14:00 | Ouverture - Reception of participants |
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Accès à l'Amphithéâtre de l'Hexagone & café d'acceuil
Access to the Hexagone Amphitheater & welcome coffee |
| 14:30 | Introduction et présentation et du réseau / Welcome and presentation by the organizers |
| Vincent Lombard, Fabrice Armougom, Benoît Ballester, Delphine Potier, Romain Fenouil. | |
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Joignez-vous à nous pour le lancement de notre projet visant à unir la communauté bioinformatique de la région Provence. Notre objectif est de créer un environnement propice à la collaboration et à l'échange entre les experts du domaine.
Join us for the launch of our project aimed at uniting the bioinformatics community in the Provence region. Our goal is to create an environment conducive to collaboration and exchange among experts in the field. |
| 14:45 | Talk 1: 30 years of (bio)computing |
| Samuel Granjeaud (CRCM) | |
| From transcriptomics to proteomics, mass spectrometry and cytometry: the evolution of a computer scientist-instrumentalist in contact with biologists and clinicians, illustrated by data analysis and a few critical reflections. |
| 15:30 | Talk 2: SciGeneX: A paradigm shift to reveal molecular program and cellular diversity in single-cell and spatial transcriptomic data |
| Julie Bavais (TAGC/CIML) | |
| Single-cell RNA-sequencing and spatial transcriptomics have gained a considerable amount of attention for their ability to provide novel insights into cellular diversity and spatial patterning. Their analysis relies on a standard bioinformatics workflow based on a gene-centric approach. However, this strategy tends to overlook the collective behavior of genes, potentially leading to the exclusion of genes that, while less variable individually, collectively play crucial roles in defining cell populations. To overcome this challenge, we developed SciGeneX (Single-cell informative Gene eXplorer) that proposed a paradigm shift by looking at the broader panorama of gene co-expression. Using gene neighborhood analysis and graph clustering algorithm, SciGeneX showed an innovative perspective by generating co-expression gene modules, providing a comprehensive overview of the underlying biological processes within single-cell RNA-sequencing or spatial transcriptomics datasets. |
| 16:15 | Pause café / Coffee break |
| 16:45 | Brainstorming sessions |
| Amphiteatre, Salle A, Salle B, Salle C | |
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Des instructions vous seront fournies.
Instructions will be provided. |
| Beer session | |
Sponsored by:
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