A vast amount of bioinformatics information is continuously being introduced to different databases around the world. Handling the various applications used to study this information present a major data management and analysis challenge to researchers. The present work investigates the problem of integrating heterogeneous applications and databases towards providing a more efficient data-mining environment for bioinformatics research. A framework is proposed and GeXpert, an application using the framework towards metabolic pathway determination is introduced. Some sample implementation results are also presented.
['Arredondo V. Tomás', 'Seeger P. Michael', 'Lioubov Dombrovskaia', 'Avarias A. Jorge', 'Calderón B. Felipe', 'Candel C. Diego', 'Muñoz R. Freddy', 'Latorre R. Valeria', 'Loreine Agulló', 'Cordova H. Macarena', 'Luis Revello Gómez']
Bioinformatics integration framework for metabolic pathway data-mining