Publications / Statistical Genomics and Biological Physics

Efficient generative modeling of protein sequences using simple autoregressive models

Trinquier J., Uguzzoni G., Pagnani A., Zamponi F., Weigt M. Nature Communications (2021)

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4 October 2021

Publications / Statistical Genomics and Biological Physics

Sparse generative modeling via parameter reduction of Boltzmann machines: Application to protein-sequence families

Barrat-Charlaix P., Muntoni A., Shimagaki K., Weigt M., Zamponi F. Physical Review E (2021)

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6 August 2021

Publications / Statistical Genomics and Biological Physics

Global multivariate model learning from hierarchically correlated data

Horta E., Lage-Castellanos A., Weigt M., Barrat-Charlaix P. Journal of Statistical Mechanics: Theory and Experiment (2021)

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1 July 2021

Publications / Statistical Genomics and Biological Physics

On the effect of phylogenetic correlations in coevolution-based contact prediction in proteins

Rodriguez Horta E., Weigt M. PLOS Computational Biology (2021)

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24 May 2021

Publications / Statistical Genomics and Biological Physics

Aligning biological sequences by exploiting residue conservation and coevolution

Muntoni A., Pagnani A., Weigt M., Zamponi F. Physical Review E (2020)

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7 December 2020

Publications / Statistical Genomics and Biological Physics

An evolution-based model for designing chorismate mutase enzymes

Russ W., Figliuzzi M., Stocker C., Barrat-Charlaix P., Socolich M., Kast P., Hilvert D., Monasson R., Cocco S., Weigt M., Ranganathan R. Science (2020)

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1 January 2020

Publications / Statistical Genomics and Biological Physics

Toward Inferring Potts Models for Phylogenetically Correlated Sequence Data

Rodriguez Horta E., Barrat-Charlaix P., Weigt M. Entropy (2019)

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7 November 2019