Simon Aeschbacher
Simon Aeschbacher
Group Leader, University of Zurich
Geverifieerd e-mailadres voor uzh.ch - Homepage
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The strength of selection against Neanderthal introgression
I Juric, S Aeschbacher, G Coop
PLoS genetics 12 (11), e1006340, 2016
2212016
A novel approach for choosing summary statistics in approximate Bayesian computation
S Aeschbacher, MA Beaumont, A Futschik
Genetics 192 (3), 1027-1047, 2012
1192012
Population-genomic inference of the strength and timing of selection against gene flow
S Aeschbacher, JP Selby, JH Willis, G Coop
Proceedings of the National Academy of Sciences 114 (27), 7061-7066, 2017
692017
Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences
F Pouyet, S Aeschbacher, A Thiéry, L Excoffier
Elife 7, e36317, 2018
622018
The evolution of genomic islands by increased establishment probability of linked alleles
S Yeaman, S Aeschbacher, R Bürger
Molecular ecology 25 (11), 2542-2558, 2016
532016
The effect of linkage on establishment and survival of locally beneficial mutations
S Aeschbacher, R Bürger
Genetics 197 (1), 317-336, 2014
422014
Approximate B ayesian computation for modular inference problems with many parameters: the example of migration rates
S Aeschbacher, A Futschik, MA Beaumont
Molecular ecology 22 (4), 987-1002, 2013
142013
Statistical inference on evolutionary processes in Alpine ibex (Capra ibex): mutation, migration and selection
S Aeschbacher
The University of Edinburgh, 2011
22011
Genomic signals of admixture and reinforcement between two closely related species of European sepsid flies
A Giesen, WU Blanckenhorn, MA Schäfer, KK Shimizu, ...
bioRxiv, 2020
12020
The effect of linked selection on invasion and survival of locally beneficial mutations
S Aeschbacher, R Buerger
9th European Conference on Mathematical and Theoretical Biology, 2014
2014
The Effect of Linkage on Establishment and Survival of Locally Beneficial Mutations
R Bürger, S Aeschbacher
2014
Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates–Online supporting information–
S Aeschbacher, A Futschik, MA Beaumont
2012
A novel approach for choosing summary statistics in approximate Bayesian computation–Online supporting information–
S Aeschbacher, MA Beaumont, A Futschik
2012
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Artikelen 1–13