AIMC Topic: Genetics, Population

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Artificial intelligence enables unified analysis of historical and landscape influences on genetic diversity.

Molecular phylogenetics and evolution Jun 12, 2024
While genetic variation in any species is potentially shaped by a range of processes, phylogeography and landscape genetics are largely concerned with inferring how environmental conditions and landscape features impact neutral intraspecific diversit...
Models, Genetic Genetic Variation Brazil Polymorphism, Single Nucleotide Genetics, Population Anura Phylogeography Artificial Intelligence Animals
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Ancestry analysis using a self-developed 56 AIM-InDel loci and machine learning methods.

Forensic science international May 21, 2024
Insertion/deletion (InDel) polymorphisms can be used as one of the ancestry-informative markers in ancestry analysis. In this study, a self-developed panel consisting of 56 ancestry-informative InDels was used to investigate the genetic structures an...
Genetics, Population DNA Fingerprinting Polymorphism, Genetic INDEL Mutation Ethnicity Gene Frequency Humans Machine Learning China East Asian People
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Simplified detection of genetic background admixture using artificial intelligence.

Clinical genetics Apr 1, 2024
Admixture refers to the mixing of genetic ancestry from different populations. Admixture is important for genomic medicine because it can affect how an individual responds to certain medications, how they metabolize drugs, and susceptibility to certa...
Humans Neural Networks, Computer Artificial Intelligence Genetics, Population Genome, Human Genetic Background Software Genomics
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On convolutional neural networks for selection inference: Revealing the effect of preprocessing on model learning and the capacity to discover novel patterns.

PLoS computational biology Nov 27, 2023
A central challenge in population genetics is the detection of genomic footprints of selection. As machine learning tools including convolutional neural networks (CNNs) have become more sophisticated and applied more broadly, these provide a logical ...
Humans Genomics Biological Evolution Neural Networks, Computer Genetics, Population Machine Learning
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Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

PLoS genetics Nov 7, 2023
Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data. Despite their performance advantages, these methods can fail when the simulated training data does ...
Genetics, Population Computer Simulation Supervised Machine Learning Neural Networks, Computer Machine Learning
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences Oct 11, 2023
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...
Genetics, Population Europe DNA Machine Learning Humans Support Vector Machine
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Harnessing deep learning for population genetic inference.

Nature reviews. Genetics Sep 4, 2023
In population genetics, the emergence of large-scale genomic data for various species and populations has provided new opportunities to understand the evolutionary forces that drive genetic diversity using statistical inference. However, the era of p...
Genetics, Population Genome Biological Evolution Deep Learning Genomics
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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...
Genetics, Population Genetic Introgression North America Microsatellite Repeats Machine Learning Animals, Wild Animals Genomics Aquaculture Salmo salar Polymorphism, Single Nucleotide
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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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