Semantic integration of gene expression analysis tools and data sources using software connectors.

ABSTRACT:

Background

The study and analysis of gene expression measurements is the primary focus of functional genomics. Once expression data is available, biologists are faced with the task of extracting (new) knowledge associated to the underlying biological phenomenon. Most often, in order to perform this task, biologists execute a number of analysis activities on the available gene expression dataset rather than a single analysis activity. The integration of heterogeneous tools and data sources to create an integrated analysis environment represents a challenging and error-prone task. Semantic integration enables the assignment of unambiguous meanings to data shared among different applications in an integrated environment, allowing the exchange of data in a semantically consistent and m

SUBMITTER: Miyazaki FA 

PROVIDER: S-EPMC3908368 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature