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.
Original language | English |
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Article number | S3 |
Number of pages | 18 |
Journal | BMC Bioinformatics |
Volume | 10 |
Issue number | Suppl 10 |
DOIs | |
Publication status | Published - 1 Oct 2009 |
Keywords
- francisella tularensis novicida
- proteomic
- transcriptomic
- semantic web technologies