Institutions: National Institute of Biologyhttps://orcid.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
Projects: Not specified
Institutions: Not specifiedhttps://orcid.org/0000-0002-8363-0678
Institutions: University Medical Center Göttingenhttps://orcid.org/0000-0002-1505-594X
Student (M.Sc. Medical Informatics) @ Georg-August-University Göttingen
Research Assistant @ Department of Medical Informatics, University Medical Center Göttingen
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-3644-7827
Ph.D. in Biotechnology
Research associate at Department of Biotechnology and Systems Biology, National Institute of Biology
Assist. Prof. of Enzyme Technology Laboratory, Department of Chemistry, University of Crete, Greece
Institutions: University of Edinburghhttps://orcid.org/0000-0003-0737-2408
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-0913-2715
Projects: Systems toxicology of Atlantic cod
Institutions: University of Bergenhttps://orcid.org/0000-0002-2484-9047
Projects: HUMET Startup
Institutions: Centro de Investigación Príncipe Felipehttps://orcid.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
Projects: Not specified
Institutions: Not specifiedhttps://orcid.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.
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
I'm a PhD student at the lab of Prof. Dr. Jörg Stülke.
My main interest is to analyze the central metabolism of Bacillus subtilis using systems biology software.
I have developed an algorithm to find short pathways connecting sets of metabolites and I'm also involved in SubtiWiki, the wiki for all genes of Bacillus subtilis (http://subtiwiki.uni-goettingen.de)
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: Mathematical and statistical modeling, bioreactor models, dynamics of biological networks, dynamics and control of biological networks, parameter estimation, Reactor models, Mathematical modelling, Bioinformatics, Molecular Biology
Tools: evaluation of process dynamics, continuous cultivation, DIVA, differential algebraic equations, linux, Material balance based modeling, stimulus response experiments, Microarray analysis, Matlab, Linear equations, ODE, Model organisms, Single Cell analysis, SBML, Transcriptomics, Computational and theoretical biology, Bioinformatics
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.
Expertise: protein secretion, C- and N- metabolism, gene regulation, stress responses, pathogens, virulence factors, metal ion homeostasis, Gram positive bacteria (Bacillus, Lactococcus, Streptococcus), competence, sporulation, germination, antimicrobial peptides, phenotypic heterogeneity, bistability
Group leader Molecular Genetics
Professor in Jinan University, Guangzhou, China.
My research interest is in the modeling of translation. Connecting various processes in translation, we can investigate the impact of different factors on protein biosynthesis and biogenesis in genome-wide scale. This may reveal various general mechanisms on control level of gene expression and folding efficiency regulation in different growth conditions.