A5039653722- Cardiac electrophysiology and arrhythmias
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Microbial Metabolic Engineering and Bioproduction
- Genetic and phenotypic traits in livestock
- Cellular Mechanics and Interactions
- Micro and Nano Robotics
- Race, Genetics, and Society
- Mitochondrial Function and Pathology
- Data-Driven Disease Surveillance
- Ion channel regulation and function
- Genetic Neurodegenerative Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Lattice Boltzmann Simulation Studies
- Microfluidic and Bio-sensing Technologies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Blood properties and coagulation
- 3D Printing in Biomedical Research
- Electrohydrodynamics and Fluid Dynamics
- Receptor Mechanisms and Signaling
- Advanced Database Systems and Queries
- COVID-19 epidemiological studies
- Cell Image Analysis Techniques
- Semantic Web and Ontologies
- Data Management and Algorithms
University of Oxford
2016-2025
Abstract Genome-wide genealogies compactly represent the evolutionary history of a set genomes and inferring them from genetic data has potential to facilitate wide range analyses. We introduce method, ARG-Needle, for accurately biobank-scale sequencing or genotyping array data, as well strategies utilize perform association other complex trait use these methods build genome-wide using 337,464 UK Biobank individuals test across seven traits. Genealogy-based detects more rare ultra-rare...
Abstract Detection of Identical-By-Descent (IBD) segments provides a fundamental measure genetic relatedness and plays key role in wide range analyses. We develop FastSMC, an IBD detection algorithm that combines fast heuristic search with accurate coalescent-based likelihood calculations. FastSMC enables biobank-scale dating within several thousands years the past. apply to 487,409 UK Biobank samples detect ~214 billion transmitted by shared ancestors past 1500 years, obtaining fine-grained...
Chaste (Cancer, Heart And Soft Tissue Environment) is an open source simulation package for the numerical solution of mathematical models arising in physiology and biology. To date, development has been driven primarily by applications that include continuum modelling cardiac electrophysiology ('Cardiac Chaste'), discrete cell-based soft tissues ('Cell-based ventilation lungs ('Lung Chaste'). Cardiac addresses need a high-performance, generic, verified framework freely available to...
Abstract The rapid growth of modern biobanks is creating new opportunities for large-scale genome-wide association studies (GWASs) and the analysis complex traits. However, performing GWASs on millions samples often leads to trade-offs between computational efficiency statistical power, reducing benefits data collection efforts. We developed Quickdraws, a method that increases power in quantitative binary traits without sacrificing efficiency, leveraging spike-and-slab prior variant effects,...
The COVID-19 epidemic continues to rage in many parts of the world. In UK alone, an array mathematical models have played a prominent role guiding policymaking. Whilst considerable pedagogical material exists for understanding basics transmission dynamics modelling, there is substantial gap between relatively simple used exposition theory and those practice model COVID-19. Understanding these requires prerequisite knowledge presents challenges new field epidemiological modelling. this paper,...
Reduction of the rapid delayed rectifier potassium current ( I Kr ) via drug binding to human Ether-à-go-go-Related Gene (hERG) channel is a well recognised mechanism that can contribute an increased risk Torsades de Pointes. Mathematical models have been created replicate effects blockers, such as reducing ionic conductance channel. Here, we study impact including state-dependent in mathematical model hERG when translating inhibition action potential changes. We show difference predictions...
Mathematical modelling provides a useful framework within which to investigate the organization of biological tissues. With advances in experimental biology leading increasingly detailed descriptions cellular behavior, models that consider cells as individual objects are becoming common tool study how processes at single-cell level affect collective dynamics and determine tissue size, shape, function. However, there often remains no comprehensive account these models, their method solution,...
Abstract Mathematical modelling provides a useful framework within which to investigate the organization of biological tissues. With advances in experimental biology leading increasingly detailed descriptions cellular behaviour, models that consider cells as individual objects are becoming common tool study how processes at single-cell level affect collective dynamics and determine tissue size, shape function. However, there often remains no comprehensive account these models, their method...
Reasoning-based query planning has been explored in many contexts, including relational data integration, the SemanticWeb, and reformulation. But infrastructure to build reasoning-based optimization context slow develop. We overview PDQ 2.0, a platform supporting number of reasoningenhanced querying tasks. focus on major goal 2.0: obtaining more modular flexible architecture for optimization.