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University of Veterinary Medicine Vienna
  • Mikula LC, Vogl C. (2024) The expected sample allele frequencies from populations of changing size via orthogonal polynomials. Theor Popul Biol. 157,55-85. doi: 10.1016/j.tpb.2024.03.005. Epub 2024 Mar 27. PMID: 38552964 
  • Vogl C, Karapetiants M, Yıldırım B, Kjartansdóttir H, Kosiol C, Bergman J, Majka M, Mikula LC. (2024) Inference of genomic landscapes using ordered Hidden Markov Models with emission densities (oHMMed). BMC Bioinformatics 25(1),151. doi: 10.1186/s12859-024-05751-4. PMID: 38627634  
  • Yıldırım B, Vogl C. (2024) The influence of GC-biased gene conversion on non-adaptive sequence evolution in short introns of Drosophila melanogaster. J Evol Biol. 37(4):383-400. doi: 10.1093/jeb/voae015. PMID: 38367009 
  • Yıldırım B, Vogl C. (2023) J Evol Biol. Purifying selection against spurious splicing signals contributes to the base composition evolution of the polypyrimidine tract. J Evol Biol 36(9):1295-1312. doi: 10.1111/jeb.14205. Epub 2023 Aug 11. PMID: 37564008 
  • Vogl C, Mikula LC. (2021) A nearly-neutral biallelic mutation model with biased mutation and linear and quadratic selection. Theor Popul Biol 39:1-17. doi: 10.1016/j.tpb.2021.03.003. Epub 2021 May 5  
  • Vogl C, Mikula LC, Burden CJ. (2020) Maximum likelihood estimators for scaled mutation rates in an equilibrium mutation-drift model. Theor Popul Biol 134:106-118. doi: 10.1016/j.tpb.2020.06.001. Epub 2020 Jun 18. PMID: 32562610.  
  • Bergman J, Schrempf D, Kosiol C, Vogl C. (2017). Inference in population genetics using forward and backward, discrete and continuous time processes. Journal of Theoretical Biology, 439, 166-180. 
  • Peneder P, Wallner B, Vogl C. (2017). Exchange of genetic information between therian X and Y chromosome gametologs in old evolutionary strata. Ecology and Evolution, 7(20), 8478-8487  
  • Vogl C, Bergman J. (2015) Inference of directional selection and mutation parameters assuming equilibrium. Theoretical Population Biology, 106, 71-82 
  • Vogl C. (2014) Estimating the scaled mutation rate and m mutation bias with site frequency data. Theoretical Population Biology, 98, 19-27. 
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