Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Ard A Louis"'
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 3, p e1004773 (2016)
Mutational neighbourhoods in genotype-phenotype (GP) maps are widely believed to be more likely to share characteristics than expected from random chance. Such genetic correlations should strongly influence evolutionary dynamics. We explore and quant
Externí odkaz:
https://doaj.org/article/685fab11b49747a1abcd8f6f6a778c81
Autor:
Steffen Schaper, Ard A Louis
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e86635 (2014)
Genotype-phenotype (GP) maps specify how the random mutations that change genotypes generate variation by altering phenotypes, which, in turn, can trigger selection. Many GP maps share the following general properties: 1) The total number of genotype
Externí odkaz:
https://doaj.org/article/aff4b671e3f44712a3ffa70eb4df6f5a
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3 (2024)
Externí odkaz:
https://doaj.org/article/1f90b00b80ad41948b24ea3a80f25184
Publikováno v:
Entropy, Vol 26, Iss 5, p 426 (2024)
Arguments inspired by algorithmic information theory predict an inverse relation between the probability and complexity of output patterns in a wide range of input–output maps. This phenomenon is known as simplicity bias. By viewing the parameters
Externí odkaz:
https://doaj.org/article/390dc64a519e4cd0817c0f1cd07722aa
Autor:
Natalie E. C. Haley, Thomas E. Ouldridge, Ismael Mullor Ruiz, Alessandro Geraldini, Ard A. Louis, Jonathan Bath, Andrew J. Turberfield
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Synthetic molecular systems require subtle control over their thermodynamics and reaction kinetics to implement features such as catalysis. Here the authors propose using mismatches in a DNA duplex to drive catalytic reactions forward whilst maintain
Externí odkaz:
https://doaj.org/article/0e14c3f417da4a58968040c4405b62d2
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
Algorithmic information theory measures the complexity of strings. Here the authors provide a practical bound on the probability that a randomly generated computer program produces a given output of a given complexity and apply this upper bound to RN
Externí odkaz:
https://doaj.org/article/363ccf311ef84afb8dc713f2b793d461
Autor:
Susanna Manrubia, José A. Cuesta, Jacobo Aguirre, Sebastian E. Ahnert, Lee Altenberg, Alejandro V. Cano, Pablo Catalán, Ramon Diaz-Uriarte, Santiago F. Elena, Juan Antonio García-Martín, Paulien Hogeweg, Bhavin S. Khatri, Joachim Krug, Ard A. Louis, Nora S. Martin, Joshua L. Payne, Matthew J. Tarnowski, Marcel Weiß
Publikováno v:
Physics of Life Reviews. 42:19-24
Biomorphs, Richard Dawkins’ iconic model of morphological evolution, are traditionally used to demonstrate the power of natural selection to generate biological order from random mutations. Here we show that biomorphs can also be used to illustrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61b7af16f0909ac819d73896b1fd26d
https://doi.org/10.1101/2023.05.24.542053
https://doi.org/10.1101/2023.05.24.542053
Autor:
Vaibhav Mohanty, Sam F. Greenbury, Tasmin Sarkany, Shyam Narayanan, Kamaludin Dingle, Sebastian E. Ahnert, Ard A. Louis
Phenotype robustness, defined as the average mutational robustness of all the genotypes that map to a given phenotype, plays a key role in facilitating neutral exploration of novel phenotypic variation by an evolving population. By applying results f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e51da3cbcac5a9e06447fd53944b808
https://doi.org/10.1101/2023.03.11.532236
https://doi.org/10.1101/2023.03.11.532236
Autor:
Jonathan P. K. Doye, Hannah Fowler, Domen Prešern, Joakim Bohlin, Lorenzo Rovigatti, Flavio Romano, Petr Šulc, Chak Kui Wong, Ard A. Louis, John S. Schreck, Megan C. Engel, Michael Matthies, Erik Benson, Erik Poppleton, Benedict E. K. Snodin
Publikováno v:
Methods in Molecular Biology ISBN: 9781071630273
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d118665cd35a6daa38b95df5e64717e
https://doi.org/10.1007/978-1-0716-3028-0_6
https://doi.org/10.1007/978-1-0716-3028-0_6