AIMC Topic: Genetics, Population

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Sampling effect in predicting the evolutionary response of populations to climate change.

Molecular ecology resources Jun 30, 2023
Genomic data and machine learning approaches have gained interest due to their potential to identify adaptive genetic variation across populations and to assess species vulnerability to climate change. By identifying gene-environment associations for...
Polymorphism, Single Nucleotide Genetic Variation Climate Change Genetics, Population
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Genomic and machine learning-based screening of aquaculture-associated introgression into at-risk wild North American Atlantic salmon (Salmo salar) populations.

Molecular ecology resources May 28, 2023
The negative genetic impacts of gene flow from domestic to wild populations can be dependent on the degree of domestication and exacerbated by the magnitude of pre-existing genetic differences between wild populations and the domestication source. Re...
Microsatellite Repeats Animals Salmo salar Animals, Wild Genetics, Population North America Genomics Polymorphism, Single Nucleotide Genetic Introgression Aquaculture Machine Learning
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Estimating resistance surfaces using gradient forest and allelic frequencies.

Molecular ecology resources Mar 10, 2023
Understanding landscape connectivity has become a global priority for mitigating the impact of landscape fragmentation on biodiversity. Connectivity methods that use link-based methods traditionally rely on relating pairwise genetic distance between ...
Genetic Variation Gene Frequency Genetics, Population Computer Simulation Biodiversity
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Hybrid autoencoder with orthogonal latent space for robust population structure inference.

Scientific reports Feb 14, 2023
Analysis of population structure and genomic ancestry remains an important topic in human genetics and bioinformatics. Commonly used methods require high-quality genotype data to ensure accurate inference. However, in practice, laboratory artifacts a...
Humans Principal Component Analysis Genetics, Population Neural Networks, Computer Genotype
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Haplotype and population structure inference using neural networks in whole-genome sequencing data.

Genome research Aug 25, 2022
Accurate inference of population structure is important in many studies of population genetics. Here we present HaploNet, a method for performing dimensionality reduction and clustering of genetic data. The method is based on local clustering of phas...
Genome, Human Genetics, Population Whole Genome Sequencing Haplotypes Neural Networks, Computer Principal Component Analysis Humans
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Evolution and dispersal of mitochondrial DNA haplogroup U5 in Northern Europe: insights from an unsupervised learning approach to phylogeography.

BMC genomics May 7, 2022
BACKGROUND: We combined an unsupervised learning methodology for analyzing mitogenome sequences with maximum likelihood (ML) phylogenetics to make detailed inferences about the evolution and diversification of mitochondrial DNA (mtDNA) haplogroup U5,...
Phylogeography Genetics, Population DNA, Mitochondrial Haplotypes Unsupervised Machine Learning Bayes Theorem Humans Europe Phylogeny Evolution, Molecular
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A new linear combination method of haplogroup distribution central vectors to model population admixtures.

Molecular genetics and genomics : MGG Apr 11, 2022
We introduce a novel population genetic approach suitable to model the origin and relationships of populations, using new computation methods analyzing Hg frequency distributions. Hgs were selected into groups which show correlated frequencies in sub...
Artificial Intelligence Algorithms Genetics, Population Mercury Haplotypes Hungary Phylogeny DNA, Mitochondrial
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Autosomal deletion/insertion polymorphisms for global stratification analyses and ancestry origin inferences of different continental populations by machine learning methods.

Electrophoresis May 19, 2021
A lot of population data of 30 deletion/insertion polymorphisms (DIPs) of the Investigator DIPplex kit in different continental populations have been reported. Here, we assessed genetic distributions of these 30 DIPs in different continental populati...
Racial Groups Black People Genetics, Population Asian People Gene Frequency Humans Genotype Machine Learning Bayes Theorem Polymorphism, Single Nucleotide
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A Hybrid Supervised Approach to Human Population Identification Using Genomics Data.

IEEE/ACM transactions on computational biology and bioinformatics Apr 6, 2021
Single nucleotide polymorphisms (SNPs) are one type of genetic variations and each SNP represents a difference in a single DNA building block, namely a nucleotide. Previous research demonstrated that SNPs can be used to identify the correct source po...
Supervised Machine Learning Genetics, Population Polymorphism, Single Nucleotide Humans Principal Component Analysis Genomics
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On the Unfounded Enthusiasm for Soft Selective Sweeps III: The Supervised Machine Learning Algorithm That Isn't.

Genes Apr 5, 2021
In the last 15 years or so, soft selective sweep mechanisms have been catapulted from a curiosity of little evolutionary importance to a ubiquitous mechanism claimed to explain most adaptive evolution and, in some cases, most evolution. This transfor...
Artificial Intelligence Algorithms Humans Evolution, Molecular Genome, Human Machine Learning Genetics, Population Selection, Genetic Adaptation, Physiological Genetic Drift
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