Ekaterina Noskova
A5074914078- Evolution and Genetic Dynamics
- Genetic Mapping and Diversity in Plants and Animals
- Genomics and Phylogenetic Studies
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Ichthyology and Marine Biology
- Fish Biology and Ecology Studies
- Identification and Quantification in Food
- Genetic Associations and Epidemiology
- Metaheuristic Optimization Algorithms Research
- Gene expression and cancer classification
- Forensic and Genetic Research
- Cancer-related molecular mechanisms research
- Nutrition, Genetics, and Disease
- Invertebrate Taxonomy and Ecology
- Stochastic processes and statistical mechanics
- Study of Mite Species
- Machine Learning and Data Classification
- Leech Biology and Applications
- Evolutionary Algorithms and Applications
Severtsov Institute of Ecology and Evolution
2025
Center for Strategic Research
2025
ITMO University
2018-2023
St Petersburg University
2019
The explosion in population genomic data demands ever more complex modes of analysis, and increasingly, these analyses depend on sophisticated simulations. Recent advances genetic simulation have made it possible to simulate large models, but specifying such models for a particular engine remains difficult error-prone task. Computational genetics researchers currently re-implement independently, leading inconsistency duplication effort. This situation presents major barrier empirical seeking...
Abstract Background The demographic history of any population is imprinted in the genomes individuals that make up population. One most popular and convenient representations genetic information allele frequency spectrum (AFS), distribution frequencies populations. joint AFS commonly used to reconstruct multiple populations, several methods based on diffusion approximation (e.g., ∂a∂i) ordinary differential equations moments) have been developed applied for inference. These provide an...
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains major obstacle. Today, more realistic are possible thanks to large increases quantity quality available genetic data, sophistication inference simulation software. However, implementing these still requires substantial time specialized knowledge. These challenges especially pronounced simulating genomes...
Abstract Understanding the demographic history of populations is a key goal in population genetics, and with improving methods data, ever more complex models are being proposed tested. Demographic current interest typically consist set discrete populations, their sizes growth rates, continuous pulse migrations between those over number epochs, which can require dozens parameters to fully describe. There currently no standard format define such models, significantly hampering progress field....
Enchytraeids, commonly known as potworms, are small oligochaetes found worldwide in various terrestrial, freshwater and marine ecosystems. Despite their crucial role ecosystem functioning, the diversity abundance of Enchytraeidae seldom studied due to labour-intensive process species identification. This study aims address this gap expand knowledge on distribution enchytraeids within Northern Palaearctic Region. The provided dataset represents latest most comprehensive field sampling...
Abstract The blue shark Prionace glauca is a top predator with one of the widest geographical distributions any species. It classified as Critically Endangered in Mediterranean Sea, and Near Threatened globally. Previous genetic studies did not reject null hypothesis single global population. was proposed possible archetype “grey zone population differentiation,” coined to designate cases where structure may be too recent or faint detected using limited set markers. Here, samples collected...
Abstract Background Inference of complex demographic histories is a source information about events that happened in the past studied populations. Existing methods for inference typically require input from researcher form parameterized model. With an increased variety and tools, each with its own interface, model specification becomes tedious error-prone. Moreover, optimization algorithms used to find parameters sometimes turn out be inefficient, instance, by being not properly tuned or...
Abstract The explosion in population genomic data demands ever more complex modes of analysis, and increasingly these analyses depend on sophisticated simulations. Recent advances genetic simulation have made it possible to simulate large models, but specifying such models for a particular engine remains difficult error-prone task. Computational genetics researchers currently re-implement independently, leading inconsistency duplication effort. This situation presents major barrier empirical...
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains major obstacle. Today, more realistic are possible thanks to large increases quantity quality available genetic data, sophistication inference simulation software. However, implementing these still requires substantial time specialized knowledge. These challenges especially pronounced simulating genomes...
Abstract Understanding the demographic history of populations is a key goal in population genetics, and with improving methods data, ever more complex models are being proposed tested. Demographic current interest typically consist set discrete populations, their sizes growth rates, continuous pulse migrations between those over number epochs, which can require dozens parameters to fully describe. There currently no standard format define such models, significantly hampering progress field....
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic data sets remains major obstacle. Today, more realistic are possible thanks to large increases quantity quality available genetic data, sophistication inference simulation software. However, implementing these still requires substantial time specialized knowledge. These challenges especially pronounced simulating genomes...
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic data sets remains major obstacle. Today, more realistic are possible thanks to large increases quantity quality available genetic data, sophistication inference simulation software. However, implementing these still requires substantial time specialized knowledge. These challenges especially pronounced simulating genomes...
The blue shark Prionace glauca is a top predator with one of the widest geographic distributions any species, yet classified as critically endangered in Mediterranean Sea, and Near Threatened globally. Previous genetic studies did not reject null hypothesis single global population across worldwide species range. Blue situation was proposed possible archetype ‘grey zone differentiation’, coined to designate cases where structure may be too recent or faint detected using limited set markers....
Abstract Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic data sets remains major obstacle. Today, more realistic are possible thanks to large increases quantity quality available genetic data, sophistication inference simulation software. However, implementing these still requires substantial time specialized knowledge. These challenges especially pronounced...
Abstract The demographic history of any population is imprinted in the genomes individuals that make up population. One most popular and convenient representations genetic information allele frequency spectrum or AFS, distribution frequencies populations. joint commonly used to reconstruct multiple populations several methods based on diffusion approximation (e.g., ∂ a i) ordinary differential equations moments ) have been developed applied for inference. These provide an opportunity...
Abstract Motivation Inference of demographic histories species and populations is one the central problems in population genetics. It usually stated as an optimization problem: find a model’s parameters that maximize certain log-likelihood. This log-likelihood often expensive to evaluate terms time hardware resources, critically more so for larger counts. Although genetic algorithm based solution have proven efficient inference past, it struggles deal with log-likelihoods setting than three...