A Practitioner’s Guide to Data Management and Data Integration in Bioinformatics
Barbara A. Eckman
3.1 INTRODUCTION
Integration of a large and widely diverse set of data sources and analytical methods is needed to carry out bioinformatics investigations such as identifying and characterizing regions of functional interest in genomic sequence, inferring biological networks, and identifying patient sub-populations with specific beneficial or toxic reactions to therapeutic agents. A variety of integration tools are available, both in the academic and the commercial sectors, each with its own particular strengths and weaknesses. Choosing the right tools for the task is critical to the success of any data integration endeavor. But the ...
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