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Towards predicting new mutations in SARS-CoV-2: in the very early stages of an emerging viral outbreak, can we predict new mutations in the proteins of the virus which might lead to its future variants? The “Statistical Genomics and Biological Physics” team proposes a computational approach based on a single viral genome infecting humans and pre-existing viral genomes infecting other species.

For more information see:

 

Teams: Statistical Genomics and Biological Physics

MABI

 

 

Juliana Bernardes of the Statistical Genomics and Biological Physics organized the MABI (Matinée sur les applications de la bio-informatique) on the 13th of April 2021.

MABI is an online event for undergraduate/graduate students interested in genomic/bioinformatic and their applications in biotechnology companies. GenoScreen, GenoSplice, iMEAN, and Pathoquest will talk about their activities and prospects in the field of bioinformatics.

To join this event, please fill this form: https://docs.google.com/forms/d/e/1FAIpQLSdspzSQi0I7pl5RSA4TxvyU8QtjK4ziiZVwDli-6BTwtklLxg/viewform

Teams: Statistical Genomics and Biological Physics

Statistical physics methods in biology and computer science

Martin Weigt co-organizes the conference “Statistical physics methods in biology and computer science”, a satellite of StatPhys2016, Ecole Normale Superieure, Paris, July 11-16, 2016. It will cover recent progress on the use of methods from statistical mechanics of disordered systems for high dimensional problems related to biology and computer science. Organizers: Simona Cocco, Florent Krzakala, Remi Monasson, Guilhem Semerjian, Martin Weigt, Lenka Zdeborova. 

Teams: Statistical Genomics and Biological Physics