Search Results for author: Jotun Hein

Found 4 papers, 1 papers with code

Recoverability of Ancestral Recombination Graph Topologies

no code implementations10 Oct 2021 Elizabeth Hayman, Anastasia Ignatieva, Jotun Hein

Recombination is a powerful evolutionary process that shapes the genetic diversity observed in the populations of many species.

Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder

no code implementations ICLR 2022 Lys Sanz Moreta, Ola Rønning, Ahmad Salim Al-Sibahi, Jotun Hein, Douglas Theobald, Thomas Hamelryck

We introduce a deep generative model for representation learning of biological sequences that, unlike existing models, explicitly represents the evolutionary process.

Representation Learning

Combinatorics of polymer models of early metabolism

no code implementations12 Apr 2021 Oliver Weller-Davies, Mike Steel, Jotun Hein

Polymer models are a widely used tool to study the prebiotic formation of metabolism at the origins of life.

KwARG: Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation

1 code implementation17 Dec 2020 Anastasia Ignatieva, Rune B. Lyngsø, Paul A. Jenkins, Jotun Hein

The reconstruction of possible histories given a sample of genetic data in the presence of recombination and recurrent mutation is a challenging problem, but can provide key insights into the evolution of a population.

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