Author

L. Nesterenko

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Evolutionary Biology· 1

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Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1

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B. Boussau· 1 shared L. Jacob· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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1 shared paperEvolutionary Biology

B. Boussau

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1 paper

Recent·Most cited

Evolutionary BiologybioRxivPreprintJun 24, 2022

Phyloformer: towards fast and accurate phylogeny estimation with self-attention networks

L. Nesterenko, B. Boussau, L. Jacob

Phyloformer uses a transformer-based network to predict pairwise evolutionary distances from multiple sequence alignments, enabling accurate and faster phylogenetic tree reconstruction compared to traditional methods.

DOI 10.1101/2022.06.24.496975

protein sequencedeep learning

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