Author

U. Perron

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:protein folding & dynamics· 2 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

N. Goldman· 3 shared A. Kalkauskas· 1 shared A. M. Kozlov· 1 shared A. Stamatakis· 1 shared C. C. Weber· 1 shared D. Casey· 1 shared G. Baele· 1 shared I. Moal· 1 shared

Activity by Year

2019-2020 · peak 2/yr

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10 top collaborators · 19 mutual co-author links

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3 shared papersEvolutionary Biology

N. Goldman

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3 papers

Recent·Most cited

Sampling bias and model choice in continuous phylogeography: getting lost on a random walk

A. Kalkauskas, U. Perron, Y. Sun, N. Goldman, G. Baele, S. Guindon, N. De Maio

The paper compares two phylogeographic models, showing that sampling bias affects Brownian Motion Phylogeography (BMP) and that the spatial Lambda-Fleming-Viot process (LambdaFV) is more robust but applicable to different scenarios.

bioRxiv · Feb 18, 2020Evolutionary Biology

Ambiguity coding allows accurate inference of evolutionary parameters from alignments in an aggregated state-space

C. C. Weber, U. Perron, D. Casey, Z. Yang, N. Goldman

This paper shows how ambiguity coding in alignments allows accurate inference of evolutionary parameters like selection strength and ancestral structures from incomplete data.

bioRxiv · Oct 13, 2019Evolutionary Biology

Modelling structural constraints on protein evolution via side-chain conformational states

U. Perron, A. M. Kozlov, A. Stamatakis, N. Goldman, I. Moal

The paper develops a structurally-aware substitution model for amino acid sequence evolution by incorporating side-chain conformational states, showing improved performance in divergence time estimation and tree inference.

bioRxiv · Jan 26, 2019Evolutionary Biology