Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies

Nadia Anwar, Ela Hunt

Research output: Contribution to journalArticle

5 Citations (Scopus)
18 Downloads (Pure)

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 languageEnglish
Article numberS3
Number of pages18
JournalBMC Bioinformatics
Volume10
Issue numberSuppl 10
DOIs
Publication statusPublished - 1 Oct 2009

Fingerprint

Francisella tularensis
Data integration
Information Storage and Retrieval
Proteomics
Data Integration
Semantic Web
Semantics
Annotation
Technology
Virulence
Integrate
Experimental Data
Experiments
Experiment
Data Curation

Keywords

  • francisella tularensis novicida
  • proteomic
  • transcriptomic
  • semantic web technologies

Cite this

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Francisella tularensis novicida proteomic and transcriptomic data integration and annotation based on semantic web technologies. / Anwar, Nadia; Hunt, Ela.

In: BMC Bioinformatics, Vol. 10, No. Suppl 10, S3, 01.10.2009.

Research output: Contribution to journalArticle

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