Institutions: National Institute of Biologyorcid.org/0000-0002-1669-6482
Roles: PhD Student
Expertise: Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Data integration, Visualization, computational biology, Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data integration, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology
Computational Biologist, Young Researcher at Department of Biotechnology and Systems Biology, National Institute of Biology NIB and PhD candidate in Statistics, Ljubljana, Slovenia
Institutions: National Institute of Biologyorcid.org/0000-0003-4776-7164
Projects: HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, pISA-tree, TID - Dynamics of tolerant potato-potato virus Y interaction, SUSPHIRE - Sustainable Bioproduction of Pheromones for Insect Pest Control in Agriculture, INDIE - Biotechnological production of sustainable indole, FAIRDOM user meeting
Institutions: National Institute of Biologyorcid.org/0000-0001-5906-8569
Institutions: National Institute of Biologyorcid.org/0000-0003-3644-7827
Ph.D. in Biotechnology
Research associate at Department of Biotechnology and Systems Biology, National Institute of Biology
Institutions: University of Groningen
Prof. Dr. Kathrin Thedieck
Leader WP8 – Project Coordination
I studied Engineering Cybernetics at the University of Stuttgart and the University of Wisconsin, Madison. After my graduation, I started my PhD studies in systems biology for which I received a Ph.D. degree in 2013. A few months later I became team leader at the Institute of Computational Biology at the Helmholtz Zentrum München. Since August 2015, I lead an independent junior research group at the Helmholtz Zentrum München.
My research focuses on the development of methods for the data-driven
Projects: Millar group, TiMet, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, POP - the Parameter Optimisation Problem, Regulation of flowering time pathways in Arabidopsis on the summer Solstice., PlaSMo model repository
Institutions: University of Edinburghorcid.org/0000-0003-1756-3654
Institutions: University of Edinburghorcid.org/0000-0003-0737-2408
Institutions: National Institute of Biologyorcid.org/0000-0003-0913-2715
Institutions: Wageningen University & Researchorcid.org/0000-0001-5845-146X
Assistant professor at Wageningen University & Research
Projects: COMBINE Multicellular Modellingorcid.org/0000-0002-7692-7203
I'm currently a PhD student in Laboratory of Systems and Synthetic Biology in Wageningen University & Research. My project involves using genome scale metabolic modelling to understand and improve chemical production capacities of microorganism.
Institutions: Wageningen University & Researchorcid.org/0000-0001-7049-5334
I am a researcher (PhD student) working at Wageningen University & Research as bioinformatician and modeller. I am working as part of the MycoSynVac (http://www.mycosynvac.eu/) project on dynamic modelling of central carbon metabolism in M. pneumoniae, to be extended to full dynamic modelling of metabolism to be implemented in a whole cell model.
I am also looking into possibilities to improve standards in model generation using semantic technologies, improving automatic generation, annotation
Projects: Not specified
Institutions: Not specifiedorcid.org/0000-0002-4790-7377
Associate Professor for Systems Biomedicine, Luxembourg Centre for Systems Biomedicine, University of Luxembourg
Institutions: geneXplain GmbHorcid.org/0000-0001-6775-2467
Alexander Kel received his Ph.D. in Bioinformatics, Molecular Biology and Genetics in 1990. He studied biology and mathematics at Novosibirsk State University and obtained his M.S. in biology with special focus on mathematical biology in 1985. He worked for 15 years at the Institute of Cytology and Genetics, Russia (ICG) holding positions as a programmer, scientist, senior scientist and Vice-Head of the Laboratory of Theoretical Molecular Genetics. In 1995, he won the Academician Belaev Award.
Projects: HUMET Startup
Institutions: European Institute for Systems Biology and Medicineorcid.org/0000-0001-7137-4171
Senior Researcher at the European Institute for Systems Biology and Medicine (EISBM), Lyon, France
The Disease Maps Project: a community effort for comprehensive representation of disease mechanisms and ‘omics data interpretation in connection to EU projects U-BIOPRED (Unbiased BIOmarkers in Prediction of REspiratory Disease outcomes) and eTRIKS (european TRanslational Information and Knowledge Management Services) funded by IMI (Innovative Medicines Initiative).
Projects: HUMET Startup
Institutions: Centro de Investigación Príncipe Felipeorcid.org/0000-0003-3318-120X
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
I am an emeritus professor in Biochemistry at the University of Amsterdam (retired 2010).
My research focussed on the human chromatin in its natural environment, i.e. the nucleus of cultured living human cells.
Aspects, such as the dynamic folding of the chromatin fiber inside the nucleus and local chemical modification of histones and DNA at genetic loci, are the physical and chemical basis for epigenetic regulation of gene expression. In my group we worked parallel on human
Projects: Not specified
Institutions: Not specifiedorcid.org/0000-0003-2727-9518
I am had of the Research Group PiDOMICS which aims at the identification of human biomarkers for fungal infection using omics-data. Moreover, I am PI Infrastructure project of the Collaborative Research Center / Transregio 124 Pathogenic fungi and their human host: Networks of Interaction - FungiNet. Thereby my expertise is the implementation and usage of pipeline for OMICS (genome, transcriptome, protoem) data analysis, as well as data-warehouses for visualizing these data.
Institutions: German Cancer Research Center (DKFZ)orcid.org/0000-0002-3706-7386
PhD student @ "Quantitative Microbial Phenotyping"
Institute of Bio- and Geosciences, IBG-1: Biotechnology
Forschungszentrum Jülich GmbH
52425 Jülich, Germany
Team leader "Quantitative Microbial Phenotyping"
Institute of Bio- and Geosciences, IBG-1: Biotechnology
Forschungszentrum Jülich GmbH
52425 Jülich, Germany
Prof. Dr. Natal van Riel is Professor in Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA) and Associate Professor in Systems Biology and Metabolic Diseases at the Department of Biomedical Engineering of the Eindhoven University of Technology (TU/e).
My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for
Scientific Project Manager at Luxembourg Centre for Systems Biomedicine, University of Luxembourg
Institutions: Norwegian University of Life Sciencesorcid.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
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, New LiSyM project, EnzymeMLorcid.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
I am staff scientist in the lab of molecular-genetic systems at the Department of Systems Biology, Institute of Cytology and Genetics SB RAS and Postdoc Research Fellow at San Diego State University.
My research focus is dynamical modeling of gene network functioining.
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: Image processing, Image analysis, Dynamic Systems, Signalling networks, dynamics of biological networks., parameter estimation, Databases, Data analysis, Systems Biology, Model selection, Identifiability, Cellular Senescence, Cell Cycle
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.
Institutions: Institute of Cytology and Genetics
I am a biomodeler, PhD student. Actually, I've graduated from Novosibirsk State University on two specialities: my bachelor diploma is done in computer science and the master thesis is defended in information biology. So, I'm kind of drifting towards biology. I am a part of the Haploid Evolutionary Constructor project. Our research group studies are dedicated to the simulation of prokaryotic communities. Personally, I am involved into the simulation of spatially distributed bacterial communities
Institutions: Universität Konstanz
I studied Life Science (which is similar to chemical biology) at the University of Konstanz and became interested in Bioinformatics, Systems Biology and quantitative analyses during my Master's. In my PhD project I combine experimental analyses with modeling and parameter estimation approaches to quantitatively analyse regulation of apoptosis at the level of the Bcl-2 protein family.
Institutions: Radboud University Nijmegen
I am a first year graduate student in the lab of Prof. Wilhelm Huck at the Radboud University Nijmegen. I am working on a project to create an artificial cell. This involves implementing complex genetic networks in cell-free systems which are far from equilibrium. My project involves designing, quantifying, modeling such networks. I am a molecular biologist by training and have basic modeling skills. I am looking to expand my skill-set to include microscopy, microfluidics and a little bit of
Institutions: Imperial College London
I am a PhD student in the Theoretical Systems Biology group, based at Imperial College London.
The aim of my PhD is to understand how noise can be the driving force of decision-making processes (differentiation, self-renewal, apoptosis or tumorgenesis), and what are our chances to control them. So far I have been working on method development for stochastic models, a moment closure framework and a stochastic reachability method, to look into cell-to-cell-variability.
Projects: SysMO DB, Whole body modelling of glucose metabolism in malaria patients, Manchester Institute for Biotechnology, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting, FAIRDOM Templatesorcid.org/0000-0003-4958-0184
Interested in systems + synthetic biology, biotechnology, mountaineering, swimming, running, and the occasional cup of tea. Once diagnosed as an ENFP.
Expertise: Clostridium, carbon metabolism, bacterial metabolism, Anaerobic Microbiology, Clostridial Genetics, Metabolic Engineering, Synthetic Biology, Systems Biology, Molecular Biology, Genetics, Microbiology
I'm an experimentalist 'Pre-doc' (I still have to finish my PhD thesis) and my work on the COSMIC project will focus on setting up a metabolomic analysis method for Clostridium acetobutylicum.
In the past I have worked on metabolic engineering of the same organism by disrupting genes to asses their impact on acid and solvent formation.
I'm looking forward to joining the COSMIC web-community. It hopefully will all us to stay in touch and update each other on advances in the (computer)lab.
I am currently Professor of Systems Biology at the University of Manchester. My research interests focus on the development of innovative computational approaches for post-genomic systems biology, statistical methods for high-throughput biological experimentation and the dynamic modelling of cellular systems. This work is highly interdisciplinary and usually involves close collaboration with experimental biologists and clinicians. A recurrently theme is the study of complex cellular networks at
Expertise: sensitivity analysis, Dynamic optimization., Systems Biology, Optimal experimental design, Mathematical modelling of biosystems and bioprocesses, dynamics and control of biological networks, parameter estimation
I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are:
- Parameter estimation
- Model identifiability
- Global sensitivity analysis
- Optimal experimental design
- Dynamic optimization
- Robust control of diffusion-reaction systems
Expertise: sensitivity analysis, Systems Biology, stress responses, Deterministic modelling of gene regulation networks, dynamics and control of biological networks, parameter estimation, Bacillus subtilis, Mathematical modelling
Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.
Expertise: Systems Biology, regulation of gene expression, Signal transduction in Gram-negative bacteria; Synthetic Microbiology; Single cell gene expression; Regulatory networks; biochemistry; histidine ki..., gene regulation, stress responses, sporulation, phenotypic heterogeneity, bistability, translational control of gene expression, Bacillus subtilis, Molecular Biology, Genetics, Microbiology
Tools: Time-lapse fluorescence microscopy Flow cytometry, Molecular biology techniques (RNA/DNA), time lapse microscopy, Fluorecence based reporter gene analyses/single cell analyses, PCR, Model organisms, Single Cell analysis, Genetic analysis, Genetic modification, Molecular Biology, Genetics, Microbiology
Systems Biologist specialising in data integration, high-throughput sequence analysis, and evolutionary and comparative analyses.
PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO.
From 2005 to 2008 I was group leader at the Institute for System Dynamics at the University of Stuttgart. Since 2008 I am now Professor of Systems Biology at the University of Luxembourg.
The research of the Systems Biology Group at the University of Luxembourg is focussed in the area of experimental and theoretical systems biology. We are applying different modelling techniques (mainly ODE and logical) to biological systems to develop suitable computational models. The analysis of these models
Tools: molecular biological techniques (RNA/DNA techniques), protein interaction studies, DNA technology RNA technology Protein analysis Fermentation Mutagenesis, gene regulation, Proteomics (2D-PAGE), Model organisms, Proteomics, Transcriptomics, Genetic analysis, Genomics, Cell biology, Biochemistry and protein analysis, Molecular Biology, Microbiology
Optimisation of Bacillus subtilis for the secretion of heterologous proteins Therapeutic proteins (including those required for experimental purposes and clinical trials) are major products of biomanufacturing processes and considerable time and expense are expended to maximise the yield and quality of proteins produced in heterologous hosts. The production host of choice is the Gram-negative bacterium Escherichia coli for which many strains and expression systems have been developed. However,
Tools: data modelling, Dynamic modelling, Computational Systems Biology, Stochastic models, C programming, differential algebraic equations, Mathematica, Matlab, ODE, Computational and theoretical biology
Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems
Expertise: carbon metabolism, Signalling networks, metabolic networks, Nonlinear Dynamics, Systems Biology, stress responses, Mathematical modelling of biosystems and bioprocesses, Bacillus subtilis, Mathematical modelling, Biochemistry, Microbiology
Tools: fed-batch cultivation, Dynamic modelling, Computational Systems Biology, Deterministic models, continuous cultivation, Enzyme assay, Chromatography, Fermentation, Matlab, Mathematica, ODE, Computational and theoretical biology
I am a biologist in the lab of Prof. Reuss at the University of Stuttgart and I am working in the field of biotechnology and mathematical modelling.
I am a first year PhD student, working with Professor Robert Poole (University of Sheffield), Professor Jeff Green (University of Sheffield) and Dr Jamie Wood (University of York) using a systems biology approach to study respiration in Escherichia coli.
Tools: fed-batch cultivation, In silico Metabolic Network Analysis, Dynamic modelling, including:- Dynamic modelling- Parameter estimation- Optimal experimental design- Dynamic optimization, Computational Systems Biology, evaluation of process dynamics, continuous cultivation, stimulus response experiments, Fermentation
Professor for Biochemcial Engineering, University Stuttgart
I'm an 'experimentalist' (molecular microbiologist) Postdoc working on regulation and peptide signaling in Clostridium acetobutylicum.
I'm also a SysMO-DB PAL (Product Application Liason) for COSMIC, working on data management including standards and integration with SysMO SEEK.
biomathematician, PhD student at the University of Rostock, Systems Biology Group Rostock
Projects: PSYSMO, DigiSal, GenoSysFat, HUMET Startup, EmPowerPutida, MycoSynVac - Engineering Mycoplasma pneumoniae as a broad-spectrum animal vaccine, SAFE-Aqua, INDIE - Biotechnological production of sustainable indole
Roles: Project Coordinator
Tools: reverse engineering, computational platform development, metabolic netwlrk visualization, microbiology techniques, Metabolic Engineering, Computational Systems Biology, Microarray analysis, Fermentation, Proteomics, Genetic modification, Bioinformatics
My research activities has been to use mathematical models and Computational Biology to answer biological questions, intertwining in silico and experimental methods at all stages. I have a strong interest in exploring the interfaces between Fundamental Biology and bona fide Engineering, specifically in the realm of environmental and industrial problems. The research goals of my group are to contribute to the elucidation of mechanisms underlying basic cellular processes, evolution and ecological
Expertise: yeast, fungi, Metabolomics, Proteomics, Stoichiometric modelling, carbon metabolism, Systems Biology, dynamics and control of biological networks, coupling metabolome and environome, rapid sampling experiments, Biochemistry
Tools: parameter estimation, ODE, HPLC, GC and LC/MS analysis of metabolites, Mass spectrometry (LC-MS/MS), continuous cultivation, Enzyme assay, Material balance based modeling, stimulus response experiments, Chromatography, Fermentation, Matlab, Metabolomics, Biochemistry and protein analysis
I've become a SysMO DB PAL for MOSES project in 2007 being a post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. In the MOSES project, our major efforts were in the experimental data acquisition for dynamic model of primary carbon and anaerobic energy metabolism in yeast. The model implements prediction of perturbations of two types: glucose pulse and temperature jump. We implement “stimulus-response” methodology for the unraveling the dynamic structure of the network and to
I am a biotechnologist with main focus on theoretical studies. Currently, I am working on the implementation of a parameter estimation algorithm on GPUs to reduce the computational burden of huge ODE systems.
I am a PAL and I am looking forward to communication with other SYSMO members.
The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that
Contributor: Maksim Zakhartsev
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Arabidopsis thaliana
Investigations: Metabolic analysis of effects of sucrose transl...
Modelling analyses: Flux Balance Analysis of multi-compartment meta...
Date Published: 24th Oct 2017
Journal: Not specified
Citation: Knopp C. Nutzung von Persistent Identifiern zur Umsetzung der FAIR-Prinzipien in Datenablageplattformen für die medizinische Forschung [Bachelorarbeit]. Göttingen: Georg-August-Universität; 2017.
Date Published: No date defined
Journal: Not specified
Citation: Linking circadian time to growth rate quantitatively via carbon metabolism
Date Published: 12th Feb 2017
Journal: J Integr Bioinform
PubMed ID: 28187405
Citation: J Integr Bioinform. 2016 Dec 18;13(3):289. doi: 10.2390/biecoll-jib-2016-289.
Talk given by Olga Krebs at EmPowerPutida project meeting in Bruxeles 23rd November 2016
Contributor: Olga Krebs