Anwar, N. and Hunt, E. (2009) Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies. BMC Bioinformatics, 10 (Supp 10). ISSN 14712105
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1186/1471-2105-10-S10-S3
Abstract
This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world, using multiple technologies, perform experiments to understand the mechanism of virulence. It is hard to integrate these data sources in a flexible manner that allows new experimental data to be added and compared when required.
| Item type: | Article |
|---|---|
| ID code: | 18916 |
| Keywords: | francisella tularensis novicida, proteomic, transcriptomic, semantic web technologies, Electronic computers. Computer science, Microbiology |
| Subjects: | Science > Mathematics > Electronic computers. Computer science Science > Microbiology |
| Department: | Faculty of Science > Computer and Information Sciences |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 18 Jun 2010 11:33 |
| Last modified: | 04 Oct 2012 13:07 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/18916 |
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