Projects: ModeleXchange initiative, COMBINE Multicellular Modelling
Institutions: The European Bioinformatics Institute < EMBL-EBI, European Bioinformatics Institutehttps://orcid.org/0000-0003-0705-9809
Rahuman Sheriff is a Senior Project Leader (BioModels) at the European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Hinxton, Cambridge, UK. He interests include mathematical modelling, development of novel tools and resources for building models, immune digital twin, quantitative imaging, single cell systems biology and chemoinformatics. He is one of the editors of Systems Biology Markup Language (SBML).
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, tst2
Institutions: National Institute of Biology, tsthttps://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)
Projects: HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, pISA-tree, INDIE - Biotechnological production of sustainable indole, _p_stRT, Public project, Playground, SUSPHIRE - Sustainable Bioproduction of Pheromones for Insect Pest Control in Agriculture
Institutions: National Institute of Biology, NewHorizonhttps://orcid.org/0000-0001-7484-6031
Institutions: ETH Zurichhttps://orcid.org/0000-0002-0573-6119
Projects: GenoSysFat, DigiSal, FAIRDOM user meeting, SEEK tutorial for DigiSal, Systems toxicology of Atlantic cod, DigiSal-BT8121
Institutions: Norwegian University of Life Scienceshttps://orcid.org/0000-0002-7778-4515
Systems biology for salmon farming is what I do. I lead the DigiSal project (http://tinyurl.com/digisal), whose full title is "Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture". DigiSal is part of Digital Life, the first call dedicated to systems biology by the Research Council of Norway. I'm also one of the lead modellers in GenoSysFat (http://tinyurl.com/genosysfat), working to improve the omega-3 content of salmon farmed on sustainable feeds by ...
Institutions: Max Planck Institute for Dynamics of Complex Technical Systems
Expertise: Molecular Biology, Bioinformatics, Mathematical modelling, Reactor models, dynamics of biological networks, Mathematical and statistical modeling, bioreactor models, Dynamics and Control of Biological Networks, Parameter estimation
Tools: Bioinformatics, Computational and theoretical biology, Transcriptomics, Model organisms, Single Cell analysis, SBML, ODE, Linear equations, Matlab, Microarray analysis, linux, Material balance based modeling, stimulus response experiments, DIVA, differential algebraic equations, evaluation of process dynamics, continuous cultivation
I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.
Institutions: University of Aberdeen
Physicist, working on the modelling side.
Institutions: University of Cologne
With a background in the statistical mechanics of disordered systems, my research focusses on the interface between statistical physics and molecular biology. At the centre is the relationship between fluctuations and noise in biological systems, the corresponding statistical ensembles, and biological function. This connection emerges at very different levels and timescales, from stochastic modeling of gene expression to the population dynamics of regulatory DNA.