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

ABSTRACT:

Background

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.

Results

Public domain data sources were combined in RDF. Using this connected graph of database cross references, we extended the annotations of an experimental data set by superimposing onto it the annotation graph. Identifiers used in t

SUBMITTER: Anwar N 

PROVIDER: S-EPMC2755824 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature