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Institutions: University of Leidenhttps://orcid.org/0000-0002-1279-5133
I am an Assistant Professor at Leiden University in the Leiden Institute of Advanced Computer Science. I am a bioinformatician and my research interests are in data integration. I use scientific workflows and semantic web technologies to integrate and analyse data in systems biology and functional genomics.
PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.
Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease
Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!
At our users meeting you can:
- Learn why data and model management is
FAIRDOM will establish a support and service network for European Systems Biology. We will serve projects in standardising, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable.
There is an urgent need for novel antibiotics to fight life-threatening infections and to counteract the increasing problem of propagating antibiotic resistance. Recently, new molecular genetic and biochemical tools have provided insight into the enormous unexploited genetic pool of environmental microbial biodiversity for new antibiotic compounds. New tools for more efficiently lifting this hidden treasure are needed to strengthen competitiveness of European industry, as well as for a cost-saving
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