Author

A. Futschik

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 2 Zoology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:ecology & biodiversity· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

C. Burny· 1 shared C. Schloetterer· 1 shared C. Vlachos· 1 shared H. Kishino· 1 shared J. Bertl· 1 shared M. Pelizzola· 1 shared R. Borges· 1 shared R. Dutta· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperEvolutionary Biology

C. Burny

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3 papers

Recent·Most cited

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and the selection coefficient in an evolving population

Y. Xu, A. Futschik, R. Dutta

This paper develops an ABC method to infer selection strength and number of selected SNPs from experimental evolution data, accounting for genomic linkage effects.

bioRxiv · Sep 20, 2022Evolutionary Biology

Waves out of the Korean Peninsula and inter- and intra-species replacements in freshwater fishes in Japan

S. Taniguchi, J. Bertl, A. Futschik, H. Kishino, T. Okazaki

The paper analyzes the phylogeography of four freshwater fish taxa in Japan and Korea, finding waves of migration from the Korean Peninsula replacing indigenous populations.

bioRxiv · Oct 5, 2020Zoology

Benchmarking software tools for detecting and quantifying selection in Evolve and Resequencing studies

C. Vlachos, C. Burny, M. Pelizzola, R. Borges, A. Futschik, R. Kofler, C. Schloetterer

This study benchmarks 10 software tools for detecting selection in Evolve and Resequencing studies, finding that LRT-1 performs best across scenarios.

bioRxiv · May 17, 2019Evolutionary Biology