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Joshua L. Payne
Joshua L. Payne
Principal Scientist, pRED Roche
Verifisert e-postadresse på env.ethz.ch - Startside
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The causes of evolvability and their evolution
JL Payne, A Wagner
Nature Reviews Genetics 20 (1), 24-38, 2019
3332019
The robustness and evolvability of transcription factor binding sites
JL Payne, A Wagner
Science 343 (6173), 875-877, 2014
1732014
Cryptic genetic variation accelerates evolution by opening access to diverse adaptive peaks
J Zheng, JL Payne, A Wagner
Science 365 (6451), 347-353, 2019
1242019
A thousand empirical adaptive landscapes and their navigability
J Aguilar-Rodríguez, JL Payne, A Wagner
Nature ecology & evolution 1 (2), 0045, 2017
1162017
Mechanisms of mutational robustness in transcriptional regulation
JL Payne, A Wagner
Frontiers in genetics 6, 322, 2015
1032015
From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
S Manrubia, JA Cuesta, J Aguirre, SE Ahnert, L Altenberg, AV Cano, ...
Physics of Life Reviews 38, 55-106, 2021
802021
Robustness, evolvability, and the logic of genetic regulation
JL Payne, JH Moore, A Wagner
Artificial life 20 (1), 111-126, 2014
732014
Analysis of a threshold model of social contagion on degree-correlated networks
PS Dodds, JL Payne
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (6 …, 2009
712009
Information cascades on degree-correlated random networks
JL Payne, PS Dodds, MJ Eppstein
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (2 …, 2009
672009
Transition bias influences the evolution of antibiotic resistance in Mycobacterium tuberculosis
JL Payne, F Menardo, A Trauner, S Borrell, SM Gygli, C Loiseau, ...
PLoS biology 17 (5), e3000265, 2019
582019
The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases
SIB Swiss Institute of Bioinformatics Members
Nucleic acids research 44 (D1), D27-D37, 2016
522016
Function does not follow form in gene regulatory circuits
JL Payne, A Wagner
Scientific reports 5 (1), 13015, 2015
512015
Mutation bias shapes the spectrum of adaptive substitutions
AV Cano, H Rozhoňová, A Stoltzfus, DM McCandlish, JL Payne
Proceedings of the National Academy of Sciences 119 (7), e2119720119, 2022
472022
Enhancers facilitate the birth of de novo genes and gene integration into regulatory networks
P Majic, JL Payne
Molecular biology and evolution 37 (4), 1165-1178, 2020
472020
Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming
T Hu, JL Payne, W Banzhaf, JH Moore
Genetic Programming and Evolvable Machines 13, 305-337, 2012
452012
Evolutionary dynamics on scale-free interaction networks
JL Payne, MJ Eppstein
IEEE Transactions on Evolutionary Computation 13 (4), 895-912, 2009
432009
Constraint and contingency in multifunctional gene regulatory circuits
JL Payne, A Wagner
PLoS computational biology 9 (6), e1003071, 2013
422013
The architecture of an empirical genotype-phenotype map
J Aguilar-Rodríguez, L Peel, M Stella, A Wagner, JL Payne
Evolution 72 (6), 1242-1260, 2018
402018
RNA-mediated gene regulation is less evolvable than transcriptional regulation
JL Payne, F Khalid, A Wagner
Proceedings of the National Academy of Sciences 115 (15), E3481-E3490, 2018
352018
Robustness, evolvability, and accessibility in linear genetic programming
T Hu, JL Payne, W Banzhaf, JH Moore
European Conference on Genetic Programming, 13-24, 2011
342011
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Artikler 1–20