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  DIPSBC--data integration platform for systems biology collaborations

Dreher, F., Kreitler, T., Hardt, C., Kamburov, A., Yildirimman, R., Schellander, K., et al. (2012). DIPSBC--data integration platform for systems biology collaborations. BMC Bioinformatics, 13: 13:85. doi:10.1186/1471-2105-13-85.

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 Creators:
Dreher, Felix1, Author           
Kreitler, Thomas, Author
Hardt, Christopher1, Author           
Kamburov, Atanas1, Author           
Yildirimman, Reha1, Author           
Schellander, Karl2, Author
Lehrach, Hans3, Author           
Lange, Bodo M. H.3, Author           
Herwig, Ralf1, Author           
Affiliations:
1Bioinformatics (Ralf Herwig), Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, Berlin, Germany, ou_1479648              
2Institute of Animal Science, University of Bonn, Bonn, Germany, ou_persistent22              
3Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, Berlin, Germany, ou_1433550              

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 Abstract: BACKGROUND: Modern biomedical research is often organized in collaborations involving labs worldwide. In particular in systems biology, complex molecular systems are analyzed that require the generation and interpretation of heterogeneous data for their explanation, for example ranging from gene expression studies and mass spectrometry measurements to experimental techniques for detecting molecular interactions and functional assays. XML has become the most prominent format for representing and exchanging these data. However, besides the development of standards there is still a fundamental lack of data integration systems that are able to utilize these exchange formats, organize the data in an integrative way and link it with applications for data interpretation and analysis. RESULTS: We have developed DIPSBC, an interactive data integration platform supporting collaborative research projects, based on Foswiki, Solr/Lucene, and specific helper applications. We describe the main features of the implementation and highlight the performance of the system with several use cases. All components of the system are platform independent and open-source developments and thus can be easily adopted by researchers. An exemplary installation of the platform which also provides several helper applications and detailed instructions for system usage and setup is available at http://dipsbc.molgen.mpg.de. CONCLUSIONS: DIPSBC is a data integration platform for medium-scale collaboration projects that has been tested already within several research collaborations. Because of its modular design and the incorporation of XML data formats it is highly flexible and easy to use.

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Language(s): eng - English
 Dates: 2012-05-08
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1186/1471-2105-13-85
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Title: BMC Bioinformatics
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 13 Sequence Number: 13:85 Start / End Page: - Identifier: ISSN: 1471-2105
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905000