Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution.

Johnston, Iain G; Dingle, Kamaludin; Greenbury, Sam F; Camargo, Chico Q; Doye, Jonathan P K; Ahnert, Sebastian E; Louis, Ard A

Johnston, Iain G; Dingle, Kamaludin; Greenbury, Sam F; Camargo, Chico Q; Doye, Jonathan P K; Ahnert, Sebastian E; Louis, Ard A.

Afiliação

Johnston IG; Department of Mathematics, University of Bergen, Bergen 5007, Norway.
Dingle K; Computational Biology Unit, University of Bergen, Bergen 5008, Norway.
Greenbury SF; Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford OX1 3PU, United Kingdom.
Camargo CQ; The Alan Turing Institute, British Library, London NW1 2DB, United Kingdom.
Doye JPK; Centre for Applied Mathematics and Bioinformatics, Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Hallwaly, Kuwait.
Ahnert SE; Theory of Condensed Matter Group, Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom.
Louis AA; Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, United Kingdom.

Proc Natl Acad Sci U S A ; 119(11): e2113883119, 2022 03 15.

Article em En | MEDLINE | ID: mdl-35275794

Assuntos

Evolução Biológica; Teoria da Informação; Seleção Genética; Algoritmos; Redes Reguladoras de Genes; Fenótipo

Palavras-chave

algorithmic information theory; development; evolution

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Seleção Genética / Evolução Biológica / Teoria da Informação Tipo de estudo: Risk_factors_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Noruega

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