iMKT

iMKT integrates McDonald and Kreitman test variants to detect and quantify recurrent natural selection using DNA sequence polymorphism and divergence data.

Key Features:

• Multiple MKT types: Performs four distinct McDonald and Kreitman test (MKT) analyses to detect and estimate adaptive, neutral, strongly deleterious, and weakly deleterious selection regimes.
• Data sources: Analyzes user-provided population genomic data or pre-loaded Drosophila melanogaster and human datasets derived from large population genomic studies.
• Advanced hypothesis testing: Provides options to test complex evolutionary hypotheses, for example comparing rates of adaptation between genomic regions with differing recombination rates.

Scientific Applications:

• Detecting adaptive evolution: Estimating the contribution of adaptive substitutions across genes or genomic regions using polymorphism and divergence data.
• Characterizing selection regimes: Distinguishing adaptive, neutral, strongly deleterious, and weakly deleterious effects across the genome.
• Comparative analysis in model organisms: Assessing patterns of natural selection in Drosophila melanogaster and human population genomic datasets.

Methodology:

Implements and integrates four variants of the McDonald and Kreitman test (MKT) applied to population genomic polymorphism and divergence data to estimate selection regimes and support hypothesis testing such as recombination-associated differences in adaptation.