Abstract
Data integration is an important part of biological applications that acquire data generated using evolving technologies and methods or involve data analysis across diverse specialized databases that reflect the expertise of different groups in a specific domain. The increasing number of such databases, the emergence of new types of data that need to be captured, as well as the evolving biological knowledge add to the complexity of already challenging integration problems. Furthermore, devising solutions to these problems requires technical expertise in several areas, such as database management systems, database administration and software engineering, as well as data modeling and analysis.
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© 2006 Springer-Verlag Berlin Heidelberg
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Markowitz, V.M. (2006). An Application Driven Perspective on Biological Data Integration. In: Leser, U., Naumann, F., Eckman, B. (eds) Data Integration in the Life Sciences. DILS 2006. Lecture Notes in Computer Science(), vol 4075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799511_1
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DOI: https://doi.org/10.1007/11799511_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36593-8
Online ISBN: 978-3-540-36595-2
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