Welcome To GeneTegra

GeneTegra is a novel integration application that allows users to find, gather, and query diverse, disparate data sources from a single interface. GeneTegra offers data linking and extraction functionality for heterogenous data sources without creating a physical data warehouse. It reduces the time spent on manual data management and data abstraction processes and improves turnaround time. The software addresses the integration requirements of geneticists and biologists working with unpublished data, saving them time and effort while expanding their research knowledge base. A biomedical researcher may have, for example, gene data in Oracle and SQL databases and multiple Affymetrix delimited text files. GeneTegra makes the process of data mining and comparing the data more efficient and accurate, especially for large data sets.

The following steps will introduce you through the process of creating and executing a query after starting the GeneTegra software. These steps include the selection of and connection to a data source, the browsing of a representative ontology, the construction and visualization of a query, and the processing of results.

Data Selection

This process begins with the user choosing a data source. GeneTegra allows the user to choose a data source which can be in the form of a local database or data file, a remote data source on another computer, or through a registry that collects data sources.

Ontology Visualization

Once a data source has been selected, the GeneTegra software provides a detailed visualization of the ontology formed from the concepts and relationships defined within the data source. The user can customize this view through a set of options and add additional relationships not specified in the original data source or database.

Query Building

The GeneTegra software offers a unique perspective through which the user can graphically construct queries using an ontology-style visualization. Because of this process, it reduces the knowledge that a user must possess regarding the specifics of the data sources they are working with as well as the relationship between concepts across data source. Any query that is constructed can be saved in a proprietary format, allowing the user to reopen and edit the query in the future.

Result Processing

Once a query has been executed, the user has multiple option in terms of viewing and saving results. The set of results may be viewed by either using a table, or by using the originally constructed visual query. Results can be saved as a CSV or PSV file, an Excel file, as a Sesame database, or as an ontology-based OWL file.