ArticleG3 (Bethesda, Md.)2017
asymptoticMK: A Web-Based Tool for the Asymptotic McDonald-Kreitman Test.
Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- MKado: a toolkit for McDonald-Kreitman tests of natural selection.G3 (Bethesda, Md.) · 2026Article
- The birth, death, and evolutionary compensation of uORFs in Drosophila.Nucleic acids research · 2026Article
- Natural Selection in Transcription Factor-DNA Interaction Motifs: A Comparative and Population Genomics Perspective.Genome biology and evolution · 2025Article
- Article
- Comparative Phylogenetics Reveal Clade-specific Drivers of Recombination Rate Evolution Across Vertebrates.Molecular biology and evolution · 2025Article
- Article
- Applying the Classic Test dN/dS to Detect Selection in Archaea.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Understanding developmental system drift.Development (Cambridge, England) · 2024Review
- Genome-wide impact of codon usage bias on translation optimization in Drosophila melanogaster.Nature communications · 2024Article
- Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection.Molecular biology and evolution · 2024Article
- An efficient and robust ABC approach to infer the rate and strength of adaptation.G3 (Bethesda, Md.) · 2024Article
- Population genetic analysis of the microsporidium Ordospora colligata reveals the role of natural selection and phylogeography on its extremely compact and reduced genome.G3 (Bethesda, Md.) · 2023Article
- Article
- impMKT: the imputed McDonald and Kreitman test, a straightforward correction that significantly increases the evidence of positive selection of the McDonald and Kreitman test at the gene level.G3 (Bethesda, Md.) · 2022Review
- Globally Relaxed Selection and Local Adaptation in Boechera stricta.Genome biology and evolution · 2022Article
- Population-Genomic Analysis Identifies a Low Rate of Global Adaptive Fixation in the Proteins of the Cyclical Parthenogen Daphnia magna.Molecular biology and evolution · 2022Article
- Dissecting Genomic Determinants of Positive Selection with an Evolution-Guided Regression Model.Molecular biology and evolution · 2022Article
- Revisiting the notion of deleterious sweeps.Genetics · 2021Article
- Determinants of genome-wide distribution and evolution of uORFs in eukaryotes.Nature communications · 2021Article
- Impact of Genetic Variation in Gene Regulatory Sequences: A Population Genomics Perspective.Frontiers in genetics · 2021Review
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Authors and funding
2 authors.
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Abstract
The McDonald-Kreitman (MK) test is a widely used method for quantifying the role of positive selection in molecular evolution. One key shortcoming of this test lies in its sensitivity to the presence of slightly deleterious mutations, which can severely bias its estimates. An asymptotic version of the MK test was recently introduced that addresses this problem by evaluating polymorphism levels for different mutation frequencies separately, and then extrapolating a function fitted to that data. Here, we present asymptoticMK, a web-based implementation of this asymptotic MK test. Our web service provides a simple R-based interface into which the user can upload the required data (polymorphism and divergence data for the genomic test region and a neutrally evolving reference region). The web service then analyzes the data and provides plots of the test results. This service is free to use, open-source, and available at http://benhaller.com/messerlab/asymptoticMK.html We provide results from simulations to illustrate the performance and robustness of the asymptoticMK test under a wide range of model parameters.
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