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DOI 10.1007/s00778-012-0302-x SPECIAL ISSUE PAPER Automating the database schema evolution process

by Carlo Curino, Hyun Jin, Moon Alin Deutsch, Carlo Zaniolo, C. Curino (b, H. J. Moon, A. Deutsch, C. Zaniolo
"... Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy applicati ..."
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Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy

Perspective An Online Bioinformatics Curriculum

by David B. Searls
"... Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university educat ..."
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education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual

Computational Tools for Protein-DNA Interactions How Many Binding Proteins Exist?

by Christopher Kauffman , George Karypis
"... Abstract Interactions between DNA and proteins are central to living systems, and characterizing how and when they occur would greatly enhance our understanding of working genomes. We review the different computational problems associated with protein-DNA interactions and the various methods used t ..."
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to solve them. A wide range of topics is covered including physics-based models for direct and indirect recognition, identification of transcription factor binding sites, and methods to predict DNA-binding proteins. Our goal is to introduce this important problem domain to data mining researchers
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