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Pierre Barrat-Charlaix

Showing results (1-10 of 10) with videos related to

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Biologie Aujourd'Hui|February 8, 2018
[From sequence variability to structural and functional prediction: modeling of homologous protein families]Pierre Barrat-Charlaix, Martin Weigt
Elife|December 27, 2024
Eco-evolutionary dynamics of adapting pathogens and host immunityPierre Barrat-Charlaix, Richard A Neher
Scientific Reports|November 26, 2016
Improving landscape inference by integrating heterogeneous data in the inverse Ising problemPierre Barrat-Charlaix, Matteo Figliuzzi, Martin Weigt
Molecular Biology and Evolution|January 20, 2018
How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?Matteo Figliuzzi, Pierre Barrat-Charlaix, Martin Weigt
Molecular Biology and Evolution|March 26, 2025
Reconstruction of Ancestral Protein Sequences Using Autoregressive Generative ModelsMatteo De Leonardis, Andrea Pagnani, Pierre Barrat-Charlaix
Plos Computational Biology|August 19, 2022
TreeKnit: Inferring ancestral reassortment graphs of influenza virusesPierre Barrat-Charlaix, Timothy G Vaughan, Richard A Neher
Molecular Biology and Evolution|March 22, 2021
Limited Predictability of Amino Acid Substitutions in Seasonal Influenza VirusesPierre Barrat-Charlaix, John Huddleston, Trevor Bedford, et al.
Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.
Science (New York, N.Y.)|July 25, 2020
An evolution-based model for designing chorismate mutase enzymesWilliam P Russ, Matteo Figliuzzi, Christian Stocker, et al.
Elife|September 3, 2020
Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolutionJohn Huddleston, John R Barnes, Thomas Rowe, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Biologie Aujourd'Hui|February 8, 2018
[From sequence variability to structural and functional prediction: modeling of homologous protein families]Pierre Barrat-Charlaix, Martin Weigt
Elife|December 27, 2024
Eco-evolutionary dynamics of adapting pathogens and host immunityPierre Barrat-Charlaix, Richard A Neher
Scientific Reports|November 26, 2016
Improving landscape inference by integrating heterogeneous data in the inverse Ising problemPierre Barrat-Charlaix, Matteo Figliuzzi, Martin Weigt
Molecular Biology and Evolution|January 20, 2018
How Pairwise Coevolutionary Models Capture the Collective Residue Variability in Proteins?Matteo Figliuzzi, Pierre Barrat-Charlaix, Martin Weigt
Molecular Biology and Evolution|March 26, 2025
Reconstruction of Ancestral Protein Sequences Using Autoregressive Generative ModelsMatteo De Leonardis, Andrea Pagnani, Pierre Barrat-Charlaix
Plos Computational Biology|August 19, 2022
TreeKnit: Inferring ancestral reassortment graphs of influenza virusesPierre Barrat-Charlaix, Timothy G Vaughan, Richard A Neher
Molecular Biology and Evolution|March 22, 2021
Limited Predictability of Amino Acid Substitutions in Seasonal Influenza VirusesPierre Barrat-Charlaix, John Huddleston, Trevor Bedford, et al.
Physical Review. E|September 16, 2021
Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence familiesPierre Barrat-Charlaix, Anna Paola Muntoni, Kai Shimagaki, et al.
Science (New York, N.Y.)|July 25, 2020
An evolution-based model for designing chorismate mutase enzymesWilliam P Russ, Matteo Figliuzzi, Christian Stocker, et al.
Elife|September 3, 2020
Integrating genotypes and phenotypes improves long-term forecasts of seasonal influenza A/H3N2 evolutionJohn Huddleston, John R Barnes, Thomas Rowe, et al.
Pageof 1