SMPGD 2016: Statistical Methods for Post Genomic Data

February 11th and 12th 2016, Lille University


Abstracts


Thursday

9h10: Keynote speaker Martial Marbouty: Metagenome assembly and characterization using high-throughput chromosome conformation capture data
10h: Contributed session 1 10h: A New Framework for the Identification of Genomic Structural Variants Using Joint Alignment of Reads
Shrestha, Frith, Asai, Richard
10h20: Factorization of count matrices with application to gene expression profile analysis
Durif, Picard
10h40: Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spaces
Ternès, Rotolo, Heinze, Michiels
11h: Break
11h20: Epidemiology
(Chi Viet TRAN)		 11h20: Data integrating in viral evolutionary inference: applications to spatial genetics problems
Philippe Lemey
11h50: The profile regression for spatial ecological studies
Aurore Lavigne
12h20: Drug sales data analysis for outbreak detection of infectious diseases
Avner Bar-Hen
12h50: Lunch
14h30: Keynote speaker Rayan Chikhi: de Bruijn graphs of sequencing data
15h20: Contributed session 2 15h20: A comparison of methods for inferring causal relationships in genetic data
Ainsworth, Shin, and Cordell
15h40: Extracting Genetic Determinants from De Bruijn Graphs in Bacterial GWAS
Jaillard, Tournoud, Ishi, Lacroix, Veyrieras and Jacob
16h: Longitudinal genetic modelling: revisiting associations of SNPs associated with blood fasting glucose in normoglycemic individuals
Canouil, Rocheleau, Yengo, Froguel
16h20: Break
16h40: GWAS for prokaryotes
(Laurent JACOB) 		16h40: Identifying lineage effects when controlling for population structure improves power in bacterial association studies
Daniel Wilson
17h10: Graph representations of bacterial genetic variation provide substrate for prediction and association
Zamin Iqbal
17h40: Modelling Antibiotic Resistance with Sparse Machine Learning and Reference-Free Genome Comparisons
Alexandre Drouin
18h10: Poster session (+ cocktail)
19h20: End

Friday


9h10: Keynote speaker Axel Munk Multiscale Change Point Inference
10h: Contributed session 3 10h: Ridge estimation of the VAR(1) model and its time series chain graph from multivariate time-course gene expression data
Miok, Wilting, van Wieringen
10h20: An empirical Bayes approach to network recovery using external knowledge
Kpogbezan
10h40: Identification of marginal causal relationships in gene networks, from observational and interventional expression data
Monneret, Jaffrézic, Rau, Nuel
11h: Break
11h20: Change-point detection
(Alain CELISSE) 		11h20: Fast bi-dimensional segmentation for Hi-C data
 Vincent Brault
11h50: Efficient Algorithms for Changepoint Detection
 Paul Fearnhead
12h20: Multiscale Inference for Blind Demixing with Applications in Cancer Genetics
 Merle Behr
12h50: Lunch
14h30: Keynote speaker Hervé Seitz: False positives in microRNA target prediction
15h20: Break
15h40: Contributed session 4 15h40: New results on Statistical significance for sequence analysis: Taking into account the length of the segment of local score.
Where the local score is realized: a non-intuitive result
Lagnoux, Mercier, and Vallois
16h20: Continuous testing for Poisson process intensities
Picard, Roquain, Fougères, and Reynaud-Bouret
16h40: Genome-wide generalized additive models
Engelhardt, Stricker, Schulz, Schmid, Tresch, and Gagneur
16h40: Closing remarks

Keynote speakers:

Invited sessions:

  • Change-point detection session – Chairman: Alain Celisse (Lab. Painlevé, Lille-Inria Lille Nord Europe)
  • Epidemiology session – Chairman: Tran Viet Chi (Lab. Painlevé, Lille)
  • GWAS for prokaryotes session – Chairman: Laurent Jacob (CNRS-LBBE, Lyon)

Contributed sessions:

  • We welcome submission of abstracts for contributed talks (15 min. including questions) and posters.
  • These may (but need not to) relate to the invited session topics.