Statistical Methods for Post Genomic Data (SMPGD) 2022

Important: Due to the pandemic situation in France, SMPGD 2022 will be fully on-line.

 

The Statistical Methods for Post Genomic Data workshop will virtually take place in Nantes on 20-21 January 2022.

 

It 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. (For more information about the SMPGD conferences, see the official website.)

 

The workshop is usually organized around 3 to 4 invited speakers, and 3 to 4 invited sessions, and one session of contributed abstracts (oral presentations and posters). As SMPGD is especially interested in the statistical, mathematical, algorithmics or modelling questions raised by modern biology, presentations are expected to focus on these points.

 

Information on how to reach Amphi Ricordeau is available here. Suggestions for accomodation will be added soon.

Main Topics

  • Next Generation Association Studies
  • Single-Cell and Intercellular Communication
  • Sarscov2, Epidemiology and Phylodynamics
  • Topological Data Analysis and other methods

Program

20/01/2022

  • 9h50 OPENING

SESSION SARS-COV2

  • 10h-10h45 :  Manon Ragonnet-Cronin (Imperial College London)
    • “Insights into SARS-CoV-2 spread from viral genetic data” 
  • 10h45-11h  FREE TIME
  • 11h-11h30 : Guy Baele (KU Leuven, Belgium)
    • "Incorporating individual travel histories in Bayesian phylogeographic inference of SARS-CoV-2”
  • 11h30-12h00 : Ariane Weber (TIDE, Max Planck Institute, Deutschland)
    • "Quantification of SARS-CoV-2 transmission through time and betweenlineages using phylodynamics"
  • LUNCH 

CONTRIBUTED

  • 13h30-13h45 : Mitsuhiro Odaka et al.
    • "Exploring Differential Equations for Modeling SARS-CoV-2 Dynamics with Sensitivity and Stability Analysis"
  • 13h45-14h : Anna Zhukova et al.
    • "Fast and Accurate Resolution of the Birth-Death Exposed-Infectious (BDEI) Model"
  • 14h-14h15 : Georg Daniel FÖRSTER et al.
    • "Inference of the populations of protein structure ensembles from NMR chemical shift data"
  • 14h15-14h30 : Marina Gomtsyan et al.
    • "Variable selection in sparse GLARMA models"
  • 14h30-14h45 : Gildas Mazo et al.
    • "Statistical multivariate modelling of omics data with copulas"
  • 14h45-15h15  FREE TIME

SESSION TOPOLOGICAL DATA ANALYSIS

  • 15h15-16h00 :  Mathieu Carrière(Sophia Antipolis, INRIA) 
    • "An introduction to Topological Data Analysis and its application to genomic data"

21/01/2022

SESSION SINGLE-CELL AND INTERCELLULAR COMMUNICATION 

  • 9h30-10h15 : Yvan Saeys (Ghent University, Belgium)
    • "Modeling cellular dynamics and communication from single-cell data: a machine learning perspective"
  • 10h15-10h30 : Geert-Jan Huizing et al.
    • "Optimal Transport improves cell-cell similarity inference in single-cell omics data"
  • 10h30-10h45 : Catherine Schramm et al.
    • "Penetrance estimation of Alzheimer disease in SORL1 loss-of-function variant carriers using a family-based strategy adjusted on APOE genotypes"
  • 10h45-11h FREE TIME

CONTRIBUTED

  • 11h-11h15 : Wencan ZHU et al.
    • "A variable selection approach for highly correlated predictors in high-dimensional genomic data"
  • 11h15-11h30 : Pierre-Emmanuel Sugier et al.
    • "Advanced Bayesian meta-analysis methods for investigating pleiotropy effect"
  • 11h30-11h45 : Hélène Ruffieux et al.
    • "EPISPOT: an epigenome-driven approach for detecting and interpreting hotspots in molecular QTL studies"
  • 11h45-12h : Fabien Laporte et al.
    • "MM4LMM: a R package to infer variance component mixed models"
  • LUNCH 

SESSION NEXT GENERATION ASSOCIATION STUDIES

  • 13h30-14h15 : Iuliana Ionita-Laza (Columbia University)
    • "Knockoff-based statistics for the identification of putative causal loci in genetic studies"
  • 14h15-14h45 : Marie Verbanck (Université de Paris)
    • "Tissue-specific genetic features inform prediction of drug side effects in clinical trials”
  • 14h45-15h FREE TIME
  • 15h-15h30 : Florian Privé ( Aarhus University, Denmark)
    • "Predicting traits and diseases from genetic data"
  • 15h30-16h : Hervé Perdry (Université Paris-Saclay, INSERM)
    • "Fast methods for mixed logistic regression in genome-wide association studies"
  • 16h-16h15 CLOSING

 

 

Important Information

  • The registration is free but mandatory. Registration closes 9 January 2022
  • Abstracts are limited to 500 words 
  • Deadline for submitting a contribution (talks and posters) : 1 December 2021 10 December 2021
  • Author notification : January 2022

Organization

SMPGD Steering committee:

 

Local organizing committee:

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