BioModels: Two Decades of FAIR and Reproducible Biology Models скачать в хорошем качестве

BioModels: Two Decades of FAIR and Reproducible Biology Models

This talk by Rahuman Sheriff (EMBL-EBI) introduces BioModels, a major open repository for mathematical models of biological systems. The presentation explains how standards like SBML enable reproducibility and interoperability in systems biology, while highlighting the ongoing reproducibility crisis in computational modeling. Topics include model repositories, systems biology standards, reproducibility testing, stochastic model validation, metabolic network modeling, and machine learning model reproducibility. BioModels provides curated, FAIR, and reusable computational models that enable scientists to share, discover, simulate, and reuse biological models across research communities. If you found this video useful, please check out our other videos on computational modeling, infection and immunology: Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/co... Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/ #systemsbiology , #computationalbiology ,#bioinformatics #openscience Keywords: BioModels repository, systems biology models, SBML systems biology markup language, computational biology models, reproducibility crisis science, systems biology standards, biological model repositories, EMBL EBI biomodels, ODE biological models, stochastic biological models, constraint based metabolic models, FAIR scientific data principles, computational model reproducibility, machine learning reproducibility science, talk2biomodels chatbot, metabolic modeling reproducibility, systems biology simulation tools, copasi simulation software, biological modeling standards, open science bioinformatics