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 (http://www.sysmo-db.org) I was responsible for metadata design (SEEK), conceptual and logical modelling of experimental data (JERM), now our team continue this work as FAIRDOM project (http://fair-dom.org/).
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SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO is to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Web page: http://sysmo.net/
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. ...
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 ...
Sharing well-annotated research data helps the systems biology process.
This practical is about how to easily structure your experimental data such that it becomes well annotated, standard compliant, reproducible, and re-usable (also for others). While much big data travels from machine to machine without human intervention, we will focus on exchange of small data describing experiments which is (to our experience) mostly handled via MS Excel and similar tools. First we give an outline talk about ...
File to use as an example for OpenRefine computer paractical
Investigations: Methods for interrelating 'omics data
Studies: 1 hidden item
Authors: M. D. Wilkinson, M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, J. W. Boiten, L. B. da Silva Santos, P. E. Bourne, J. Bouwman, A. J. Brookes, T. Clark, M. Crosas, I. Dillo, O. Dumon, S. Edmunds, C. T. Evelo, R. Finkers, A. Gonzalez-Beltran, A. J. Gray, P. Groth, C. Goble, J. S. Grethe, J. Heringa, P. A. 't Hoen, R. Hooft, T. Kuhn, R. Kok, J. Kok, S. J. Lusher, M. E. Martone, A. Mons, A. L. Packer, B. Persson, P. Rocca-Serra, M. Roos, R. van Schaik, S. A. Sansone, E. Schultes, T. Sengstag, T. Slater, G. Strawn, M. A. Swertz, M. Thompson, J. van der Lei, E. van Mulligen, J. Velterop, A. Waagmeester, P. Wittenburg, K. Wolstencroft, J. Zhao, B. Mons
Date Published: 16th Mar 2016
Publication Type: Not specified
PubMed ID: 26978244
Citation: Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
Authors: Firstname Lastname, Martin Golebiewski, Renate Kania, Firstname Lastname, Saqib Mir, Andreas Weidemann, Ulrike Wittig
Date Published: 14th Sep 2007
Publication Type: Not specified
PubMed ID: 17822389
Systems Biology is one of the most prominent newly emerging interdisciplinary science areas. By connecting fields such as genomics, proteomics, cell biology, medicine, molecular biology, biochemistry and genetics, with mathematics, bioinformatics, engineering and computation, it enables discovery of yet unknown principles underlying the functioning of living cells. At the same time testable and predictive models of complex cellular pathways and eventually of whole cells are generated, which are ...