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Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.
Manual Curation. The Pathogen-Host Interactions database ( PHI-base) [1] is a biological database that contains manually curated information on genes experimentally proven to affect the outcome of pathogen-host interactions. The database has been maintained by researchers at Rothamsted Research and external collaborators since 2005.
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
The AMRFinderPlus tool from the National Center for Biotechnology Information (NCBI) is a bioinformatic tool that allows users to identify antimicrobial resistance determinants, stress response, and virulence genes in bacterial genomes. [2] This tool's development began in 2018 (as AMRFinder) and is still underway.
iBioSim [5] [6] is a computer-aided design (CAD) tool for the modeling, analysis, and design of genetic circuits. GUI/Scripting tool [7] for building and simulating multicellular models. Yes, but only for reactions. GUI tool [8] [9] for analyzing and simulating SBML models.
PLOS Pathogens is a peer-reviewed open-access medical journal. All content in PLOS Pathogens is published under the Creative Commons "by-attribution" license. PLOS Pathogens began operation in September 2005. It was the fifth journal of the Public Library of Science (PLOS), a non-profit open-access publisher.
Quantitative microbiological risk assessment [1] (QMRA) is the process of estimating the risk from exposure to microorganisms . The process involves measuring known microbial pathogens or indicators and running a Monte Carlo simulation to estimate the risk of transfer. [1] If a dose-response model is available for the microbe, it be used to ...
PhytoPath was a joint scientific project between the European Bioinformatics Institute and Rothamsted Research, running from January 2012 [1] to May 30, 2017. [2] The project aimed to enable the exploitation of the growing body of “-omics” data being generated for phytopathogens, their plant hosts and related model species.