OR example file: metabolomics

Version 1

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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This Investigation was performed by SySMO DB team together with PALS in order to crete methods and best practices for capturing experimental data.

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
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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
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