Authors:
Elarbi Badidi
1
and
Larbi Esmahi
2
Affiliations:
1
United Arab Emirates University; University Drive, United Arab Emirates
;
2
Athabasca University, Canada
Keyword(s):
Data Integration, Application Integration, Mashups, Service Oriented Architecture, and Web Services.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Business Analytics
;
Communication and Software Infrastructure
;
Cross-Feeding between Data and Software Engineering
;
Data Engineering
;
Data Exchange and Integration
;
Distributed and Mobile Software Systems
;
e-Business
;
Enterprise Information Systems
;
Enterprise Integration Strategies and Patterns
;
Enterprise Software Technologies
;
Service-Oriented Computing
;
Services
;
Software Engineering
;
Technologies for Inter-Enterprise Collaboration
;
Web-Based Computing
Abstract:
Worldwide biological research activities are generating publicly available biological data at a phenomenal pace. Data is usually stored in different formats (fasta, genbank, embl, xml, etc.). Therefore, retrieving, analyzing, parsing, and integrating these heterogeneous data require substantial programming expertise and effort that scientists do not have overall. Bioinformaticians have often considered several approaches to integrate heterogeneous data and software applications. Most of these integration approaches require significant computer skills. Recently, a new technology, called mashups, has emerged to simplify this integration. In this paper, we discuss widely used approaches for integrating data and applications in bioinformatics and our ongoing effort to use mashups in conjunction with Service Oriented Architecture (SOA) for integrating data and applications in Life Sciences.