Projects: COMBINE Multicellular Modelling
Institutions: Indiana University Bloomingtonhttps://orcid.org/0000-0003-3634-190X
Expertise: Computational Biology, Mathematical modelling, Multicellular Modelling, Compucell3D, Virtual Tissues, Model Sharing, Language Standards, Agent-based modelling, Dynamic modelling, Computational Systems Biology, standards, Developmental Biology, Toxicology, Framework Development, Cancer, Immunology, Community Building
Dr. Glazier’s research focuses on early embryonic development, developmental and chronic toxicity and disease, with more than 100 experimental and computational papers on biological development and developmental diseases (including polycystic kidney disease (ADPKD), tumor growth and vascularization, Age Related Macular Degeneration and diabetic retinopathies, somitogenesis and liver toxicity) and more recently on modeling in-host viral infection and immune response. As part of his work on infection ...
Expertise: enzyme kinetics, enzymes, Enzymatic reactions, biochemical enzyme characterization, Biochemistry, molecular simulation, molecular modeling, Programming, Bioinformatics, Computational Biology
Tools: Gromacs, Python, Molecular Dynamics, bash, Biochemistry, Bioinformatics, Biochemistry and protein analysis, Enzyme assay, enzyme kinetics, isothermal titration calorimetry, dynamic light scattering, Spectrophotometry
Polyglot European Scientist. I thrive working in interdisciplinary environments combining the study of enzyme reactions and mechanisms with bioinformatics, molecular modelling, automated data analysis and data stewardship.
Projects: pISA-tree, HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, INDIE - Biotechnological production of sustainable indole, _p_stRT, ADAPT - Accelerated Development of multiple-stress tolerAnt PoTato, tst, tst2https://orcid.org/0000-0002-1669-6482
Expertise: Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming, Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Visualization, Data Integration, Computational Biology
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology, Data Integration
Computational Biologist and Biostatistician at Department of Biotechnology and Systems Biology, National Institute of Biology (NIB)
Institutions: University of Ulsterhttps://orcid.org/0000-0002-2750-6410
POSITION Lecturer/Assistant Prof in Computational Biology at the University of Ulster.
RESEARCH My research focusses principally on cholesterol metabolism and its role in cardiovascular disease and atherosclerosis. I have also studied its role in innate immunity and infection. In addition, I have worked on areas of personalised and stratified medicine for cardiovascular disease and rheumatoid arthritis.
PUBLICATION My publications can be seen at: https://scholar.google.co.uk/citations?user=oMccxPwAAAAJ&hl=en ...
Projects: Kinetics on the move - Workshop 2016, Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), FAIRDOM user meeting, COMBINE Multicellular Modelling, FAIRDOM & LiSyM & de.NBI Data Structuring Traininghttps://orcid.org/0000-0003-1725-179X
We are investigating liver metabolism and function with the help of computational models and methods.
Group Leader Dr. Matthias König
The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...
I am Senior Scientist at Institute of Cytology and Genetics SB RAS in Novosibirsk. My research focus is computational genomics: high-throughput sequencing, ChIP-seq, human genome research (HUGO member), high performance computing in bioinformatics
Professor of Computer Science, University of Sheffield. FBCS, FIMA, CEng, C.Math, CITP. I have been involved in the use of computational techniques for modelling biological systems since 1980. More recently I have developed a technique of agent-based modelling based on the framework FLAME which is the only such system that can be run on supercomputers. We have made significant new biological discoveries using this approach: The approach models the location and activity of millions of individual ...