HITS gGmbH
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Projects: SysMO DB, FAIRDOM training
Institutions: HITS gGmbH
I am a researcher at the Scientific Databases and Visualization Group at Heidelberg Institute for Theoretical Studies (HITS) , one of the developers of SabioRK - System for the Analysis of Biochemical Pathways - Reaction Kinetics (http://sabiork.h-its.org/) . I am working on design and maintenance of the information systems to store, query and analyse systems biology data; definition and implementation of methods for the integration of data from multiple sources. In SySMO-DB project
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Special guest appearance from Charles Darwin himself!
Projects: SysMO DB, FAIRDOM training
Institutions: HITS gGmbH
Projects: SysMO DB, SulfoSys, Synthetic Biology Manchester Demo, FAIRDOM training
Institutions: School of Computer Science, University of Manchester, Manchester Centre for Integrative Systems Biology, University of Manchester, Autonomous University of Barcelona, HITS gGmbH
orcid.org/0000-0003-2130-0865
Lead Software Engineer and Architect on the FAIRDOM team based in Manchester.
Developing SEEK and RightField.
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This project contains materials for "Model management and result reproducibility" training at Managing Big Data tutorial on 5th of December 2016 in Potsdam.
The course will also explain how to build an effective Data Management strategy, needed if you apply for funds for a project.
The target group of this basic course are young scientists. This one day tutorial will give you insights in standard operation procedures (SOPs), experimental design, modelling design and a short introduction in SEEK.
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Programme: This Project is not associated with a Programme
Public web page: http://sb-sciencemanagement.com/training/training/managing-big-data
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
* facilitates and maximises the potential for data exchange between SysMO research groups;
* maximises the ‘shelf life’ and
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Programme: SysMO
Public web page: http://www.sysmo-db.org/
Comparative Systems Biology: Lactic Acid Bacteria
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=57
