Institutions: University Maastrichthttps://orcid.org/0000-0002-5301-3142
Projects: COVID-19 Disease Map
Institutions: University of Tübingenhttps://orcid.org/0000-0002-1240-5553
Expertise: Systems Biology, Computational Systems Biology, Databases, Dynamic modelling, Java, Mathematical modelling, Metabolic Engineering, Disease Maps, Curation, Modeling, Data Integration, Constraint-based Modelling, Parameter estimation
Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.
Projects: COVID-19 Disease Map
Institutions: University of Montpellierhttps://orcid.org/0000-0001-6453-5707
Leader of Computational Systems Biology team at LPHI UMR 5235 CNRS and University of Montpellier
I am a Researcher at the National Laboratory of Scientific Computing (LNCC). I am a bioinformatician and my research interests are in data integration and analyses. I use scientific workflows technologies to integrate and analyse data in systems biology, phylogenomics, and functional genomics.
Post Doc (2010 – 2015) of the Department of Computer Science at the COPPE Institute of the Federal University of Rio de Janeiro (Brazil) and was supported by a FAPERJ’s grant “Post-Doc Note 10” (2013 – ...
Institutions: University Medical Center Göttingenhttps://orcid.org/0000-0002-6307-3253
Researcher at the University Medical Center Göttingen, Department of Medical Informatics
Postdoctoral researcher at Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg
Projects: SUSPHIRE - Sustainable Bioproduction of Pheromones for Insect Pest Control in Agriculture, INDIE - Biotechnological production of sustainable indole, ADAPT - Accelerated Development of multiple-stress tolerAnt PoTato
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-4776-7164
Institutions: Technische Universität Dresdenhttps://orcid.org/0000-0003-0137-5106
Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://morpheus.gitlab.io) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.
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)
Projects: WG Infrastructure for Translational Research, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", Translational Bioinformatics, Medical Biometry, Epidemiology, Medical Informaticshttps://orcid.org/0000-0002-1505-594X
Institutions: Institut Pasteurhttps://orcid.org/0000-0001-6286-1138
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-0913-2715
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Genetics, Genomics, R, Systems Biology, Transcriptomics, Java
My scientific interests revolve around functional genomics, systems biology and the development of algorithms and software for the analysis of high-throughput data (mainly, but not restricted to, Next Generation Sequencing) and its application to the relationship between genotype and phenotype, mainly oriented to personalized and precision medicine. I am especially interested in the study of disease mechanisms and drug action mechanisms, drug repositioning and the definition of mechanism-based ...
Institutions: University of Luxembourghttps://orcid.org/0000-0002-8071-7110
Associate Professor for Systems Biomedicine, Luxembourg Centre for Systems Biomedicine, University of Luxembourg
Projects: de.NBI-SysBio, GenoSysFat, Kinetics on the move - Workshop 2016, Example use cases, COMBINE Multicellular Modelling, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Datahttps://orcid.org/0000-0002-5886-5563
I am a computer scientist by training with a specialisation on database and information systems. Since December 2018 I am professor of Medical Informatics at the University Medicine in Greifswald, Germany, at the Institute of Community Medicine. My lab focuses on research data management in biomedicine, data integration across health care providers, and provenance of clinical research data items within clinical information systems. Furthermore, I am actively involved in COMBINE standardisation ...
Projects: FAIRDOM, Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, MS_DILI, COMBINE Multicellular Modelling, FAIRDOM & LiSyM & de.NBI Data Structuring Training, EnzymeML, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", FAIRDOM Community Workers, COVID-19 Disease Map, COVID-19 related studies and tools in Germany, nfdi4health - German National Research Data Infrastructure for Personal Health Data, ModeleXchange initiative, SDBV/HITShttps://orcid.org/0000-0002-8683-7084
Data management and standardization expert for systems biology and systems medicine, responsible for the data management user requirements and user contacts within the German LiSyM network (Liver Systems Medicine: http://lisym.org/) and associated to the FAIRDOM team. Involved in different standardization initiatives and committees, i.e. COMBINE (http://co.mbine.org), ISO/TC 276 Biotechnology (https://www.iso.org/committee/4514241.html), European COST action CHARME (http://www.cost-charme.eu) and ...
Systems Biologist specialising in data integration, high-throughput sequence analysis, and evolutionary and comparative analyses.
Institutions: Beuth University of Applied Sciences Berlinhttps://orcid.org/0000-0001-6096-1354
Expertise: Mathematical modelling, Data Management, coupling metabolome and environome, rapid sampling experiments, dynamics of biological networks, bioreactor models, Optimal experimental design, Dynamic optimization., Nonlinear Dynamics, Data Integration, Parameter estimation
Process engineer, modeling biological systems since 1985.