Simona Cocco 

Directrice de Recherche CNRS
Laboratoire de Physique de l'ENS
UMR8023

Equipe: Physique Statistique et Inference pour la Biologie



mail :cocco@lps.ens.fr 

phone: (33) 1 44323371 




  










Research Topics: Statistical Physics, Inference and Machine Learning for Biology 

De La Physique Statistique Pour Modéliser de Protéines









Publications 



Softwares

ACE: A fast and flexible code for solving the inverse Ising/Potts inference problem

JP Barton, E. De Leonardis, A. Coucke, S. Cocco
Bioinformatics doi: 10.1093/bioinformatics/btw328 (2016) 



ProteinMotifRBM:Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox and PGM

J. Tubiana, S. Cocco, R. Monasson
eLife 2019;8:e39397 (2019). See also the press release. 


RBM-MHC: a predictor for class I antigen presentation 

B. Bravi, J. Tubiana, S. Cocco, R. Monasson, T. Mora, A.M. Walczak
Cell Systems 12, 1-8 (2021) 

Teaching

M2 Course 2021 Computation and Data Driven Physics

M2 Course 2017-2020 Inference,Information,Networks: from StatisticalPhysics to `Big’Biological Data 


Conferences

People 

Archives 

Among my collaborators : R. Monasson, J.Marko, D. Chatenay , S. Leibler , M. Barbi , M. Peyrard , M. Weigt, J.Barton, P. Sulc, A. Komarova, C. Nizak, G.Debregeas, D. Hekstra, B. Greenbaum, N. Douarche, V. Baldazzi, C. Barbieri, V. Sessak, G. Tavoni, U. Ferrari, E. de Leonardis, A. Coucke, L. Posani, F.Rizzato,M. Molari, C Roussel, A Di Gioacchino, S. Wolf, J Fernandez de Cossio, E. Mauri,B.Bravi, C. Malbranke, M.Trippa



LPS-ENS, 24, rue Lhomond, Office GH301, 75231 Paris Cedex 05, France.