Workshop : “Statistical methods for post genomic data” – SMPGD 2022
The SMPGD 2022 is an annual meeting dedicated to statistical methods for post genomic data analysis. The aim of the workshop is to present works from mathematical to applied Statistics, but also new areas in high throughput Biology that could need new statistical developments.
Initially scheduled to take place in Nantes, this Workshop on statistical methods for post-genomic data was held virtually over two days, on 20 and 21 January. With nearly 170 registrations and 70 to 100 people connected simultaneously, the SMPDG brought together many researchers in the discipline around 4 sessions:
- SARS-COV2 (main speaker Manon Ragonnet-Cronin , Imperial College London)
- TOPOLOGICAL DATA ANALYSIS (main speaker Mathieu Carrière, Sophia Antipolis, INRIA)
- SINGLE-CELL AND INTERCELLULAR COMMUNICATION (main speaker Yvan Saeys, Ghent University, Belgium)
- NEXT GENERATION ASSOCIATION STUDIES (main speaker Luliana Ionita-Laza , Columbia University)
The SMPGD 2022 organising team includes researchers from Nantes, including a researcher and a doctoral student from SIRIC ILIAD:
- Christian Dina (Université de Nantes, INSERM)
- Guillaume Fertin (Université de Nantes)
- Bertrand Michel (Ecole Centrale de Nantes) – Scientific leader of the “Mathematical integration of complex data collected” axis of SIRIC ILIAD
- Anthony Ozier-Lafontaine (Ecole Centrale de Nantes) – PhD student at the SIRIC ILIAD
- Mathieu Ribatet (Ecole Centrale de Nantes)
More information on the event’s website: https://smpgd2022.sciencesconf.org/