AIMC Topic: Gene Flow

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Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Molecular ecology resources Oct 31, 2021
Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of literature has focused on the challenges of investigating cryptic diversity within complex evolutionary scenarios of speciation, including gene flow and de...
Phylogeny Deep Learning Bayes Theorem Species Specificity Biological Evolution Gene Flow Cactaceae
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Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia.

PLoS genetics Apr 23, 2018
Hybridization and gene flow between species appears to be common. Even though it is clear that hybridization is widespread across all surveyed taxonomic groups, the magnitude and consequences of introgression are still largely unknown. Thus it is cru...
Software Computer Simulation Animals Models, Genetic Evolution, Molecular Supervised Machine Learning Genetic Variation Haplotypes Species Specificity Drosophila Hybridization, Genetic Genetics, Population Genome, Insect Genetic Speciation Drosophila simulans Gene Flow
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Inferring Historical Introgression with Deep Learning.

Systematic biology Nov 1, 2023
Resolving phylogenetic relationships among taxa remains a challenge in the era of big data due to the presence of genetic admixture in a wide range of organisms. Rapidly developing sequencing technologies and statistical tests enable evolutionary rel...
Animals Phylogeny Deep Learning Biological Evolution Hybridization, Genetic Gene Flow Butterflies
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