Author

Archer Y. Yang

McGill University

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Synthetic Biology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:phylogenetics / evolution· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:variational autoencoder· 1

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Carlos Michel Mourra-Díaz· 1 shared D. Payette· 1 shared Qichen Huang· 1 shared Xiaozhen WeniD· 1 shared

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Carlos Michel Mourra-Díaz

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Synthetic BiologybioRxivPreprintSep 15, 2026

Sequence Generation and Phylogenetic Inference with Generative Flow Networks

Qichen Huang, Carlos Michel Mourra-Díaz, Xiaozhen Wen…·Archer Y. Yang

This paper introduces AncestorGFN, a method using Generative Flow Networks for alignment-free sequence generation and phylogenetic inference, showing it can recover ancestral relationships and generate novel sequences.

DOI 10.64898/2026.04.08.717239

proteomicsdeep learning

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