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Simon Aeschbacher, PhD - Publications

Affiliations: 
2014- Evolution and Ecology University of California, Berkeley, CA, United States 
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12 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Giesen A, Blanckenhorn WU, Schäfer MA, Shimizu KK, Shimizu-Inatsugi R, Misof B, Podsiadlowski L, Niehuis O, Lischer HEL, Aeschbacher S, Kapun M. Geographic Variation in Genomic Signals of Admixture Between Two Closely Related European Sepsid Fly Species. Evolutionary Biology. 50: 395-412. PMID 37854269 DOI: 10.1007/s11692-023-09612-5  0.402
2023 Laetsch DR, Bisschop G, Martin SH, Aeschbacher S, Setter D, Lohse K. Demographically explicit scans for barriers to gene flow using gIMble. Plos Genetics. 19: e1010999. PMID 37816069 DOI: 10.1371/journal.pgen.1010999  0.537
2023 Arango-Isaza E, Capodiferro MR, Aninao MJ, Babiker H, Aeschbacher S, Achilli A, Posth C, Campbell R, Martínez FI, Heggarty P, Sadowsky S, Shimizu KK, Barbieri C. The genetic history of the Southern Andes from present-day Mapuche ancestry. Current Biology : Cb. PMID 37279753 DOI: 10.1016/j.cub.2023.05.013  0.318
2023 Resutik P, Aeschbacher S, Krützen M, Kratzer A, Haas C, Phillips C, Arora N. Comparative evaluation of the MAPlex, Precision ID Ancestry Panel, and VISAGE Basic Tool for biogeographical ancestry inference. Forensic Science International. Genetics. 64: 102850. PMID 36924679 DOI: 10.1016/j.fsigen.2023.102850  0.31
2018 Pouyet F, Aeschbacher S, Thiéry A, Excoffier L. Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences. Elife. 7. PMID 30125248 DOI: 10.7554/Elife.36317  0.583
2018 Pouyet F, Aeschbacher S, Thiéry A, Excoffier L. Author response: Background selection and biased gene conversion affect more than 95% of the human genome and bias demographic inferences Elife. DOI: 10.7554/Elife.36317.039  0.522
2017 Aeschbacher S, Selby JP, Willis JH, Coop G. Population-genomic inference of the strength and timing of selection against gene flow. Proceedings of the National Academy of Sciences of the United States of America. PMID 28634295 DOI: 10.1073/Pnas.1616755114  0.535
2016 Juric I, Aeschbacher S, Coop G. The Strength of Selection against Neanderthal Introgression. Plos Genetics. 12: e1006340. PMID 27824859 DOI: 10.1371/Journal.Pgen.1006340  0.525
2016 Yeaman S, Aeschbacher S, Bürger R. The evolution of genomic islands by increased establishment probability of linked alleles. Molecular Ecology. PMID 27206531 DOI: 10.1111/Mec.13611  0.555
2014 Aeschbacher S, Bürger R. The effect of linkage on establishment and survival of locally beneficial mutations. Genetics. 197: 317-36. PMID 24610861 DOI: 10.1534/Genetics.114.163477  0.54
2013 Aeschbacher S, Futschik A, Beaumont MA. Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates. Molecular Ecology. 22: 987-1002. PMID 23301635 DOI: 10.1111/Mec.12165  0.386
2012 Aeschbacher S, Beaumont MA, Futschik A. A novel approach for choosing summary statistics in approximate Bayesian computation. Genetics. 192: 1027-47. PMID 22960215 DOI: 10.1534/Genetics.112.143164  0.348
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