Projects: COVID-19 Disease Map
Institutions: Golestan University of Medical Scienceshttps://orcid.org/0000-0002-0773-1610
I would like to collaborate on the COVID-19 projects.
I am currently a faculty member of the Infectious Diseases research center, at the Golestan University of Medical Sciences, Iran, and studying clinical information of patients with COVID-19.
I am a microbiologist and can help other teams to evaluate the data obtained from COVID-19 cases.
Institutions: ZB MED - Information Centre for Life Scienceshttps://orcid.org/0000-0001-5246-9351
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.
Institutions: University Medical Center Göttingenhttps://orcid.org/0000-0002-6307-3253
Researcher at the University Medical Center Göttingen, Department of Medical Informatics
Projects: de.NBI-SysBio, Kinetics on the move - Workshop 2016, Example use cases, SBEpo - Systems Biology of Erythropoietin, FAIRDOM & LiSyM & de.NBI Data Structuring Training, FAIRDOM, EnzymeML, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", FAIRDOM Community Workers, MIX-UP, CEPLAS – Cluster of Excellence on Plant Sciences, COVID-19 Disease Map, ERNEST Mapping Group Pilot Study, NMTrypI - New Medicines for Trypanosomatidic Infections, Standardization of enzyme-catalyzed reaction measurement, Standardization of enzyme-catalyzed reaction modelling, ModeleXchange initiative, CoVIDD - Coronavirus interactions in drug discovery - optimization and implementationhttps://orcid.org/0000-0002-9077-5664
Projects: Not specified
Institutions: Not specifiedhttps://orcid.org/0000-0002-8363-0678
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
Projects: Not specified
Institutions: Not specifiedhttps://orcid.org/0000-0002-4790-7377
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 initiativehttps://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
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
Head of Scientific IT Services and member of the ITS executive board at ETH Zurich.
Project manager of SyBIT.
Project partner of the FAIRDOM Initiative.
Software developer for FAIRDOM
My research is intended to contribute to the elucidation of the physiological and molecular processes involved in the biofilm formation of acidophilic leaching bacteria with emphasis in their cell-cell communication mechanisms.
In SysMetEx, our role is to understand biofilm formation at a microscopical and OMICS levels, in order to optimize it.
Roles: Project Coordinator
Expertise: Signalling networks, dynamics of biological networks., Databases, Data analysis, Systems Biology, Model selection, Identifiability, Cellular Senescence, Cell Cycle, Dynamic Systems, Image processing, Image analysis, Parameter estimation
My group investigates dynamic regulation and control mechanisms of cellular signal transduction networks by a combination of theoretical, experimental and computational methods. We seek to make sense of our biological data with the help of mathematical models, which ideally enable us to make valid predictions for new experiments, thereby generating novel biological insights.
Research fellow in Bioinformatics at the Warwick Systems Biology Centre, University of Warwick.
Working on high throughput data analysis (microarray data, next generation sequencing) and data integration (database management, text-mining, gene annotation via public databases)...