An Evaluation of Multiple Approaches for Federating Biological Data

An Evaluation of Multiple Approaches for Federating Biological Data

Zhiming Wang (University of Georgia, USA), Xin Gao (University of Pennsylvania, USA), Congzhou He (University of Georgia, USA), John A. Miller (University of Georgia, USA), Jessica C. Kissinger (University of Georgia, USA), Mark Heiges (University of Georgia, USA), Cristina Aurrecoechea (University of Georgia, USA), Eileen T. Kraemer (University of Georgia, USA) and C. Pennington (University of Georgia, USA)
Copyright: © 2009 |Pages: 23
DOI: 10.4018/jitr.2009040104


Between technological breakthroughs and new computational approaches, the quantity of biological data is increasing explosively. As of 2007, there were 1078 biological databases. Providing biologists with central and uniform access to all types of data stored in biological databases is becoming critical. To minimize disruption of current operations, maintain local autonomy and handle heterogeneities, federated databases and Web services have been proposed as viable solutions. This paper explores these issues and reports on our experience with testing multiple approaches for biological database integration. It discusses the trade-offs among performance, support for heterogeneity, robustness and scalability. A significant result of our study is that the most flexible approach, Web Services, performs very competitively.

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