The Human Genome Project generated vast amounts of DNA sequenced data scattered in disparate data sources in a variety of formats. Integrating biological data and extracting information held in DNA sequences are major ongoing tasks for biologists and software professionals. This thesis explored issues of finding, extracting, merging and synthesizing information from multiple disparate data sources containing DNA sequenced data, which is composed of 3 billion chemical building blocks of bases. We proposed a biological data integration framework based on typical usage patterns to simplify these issues for biologists. The framework uses a relational database management system at the backend, and provides techniques to extract, store, and manage the data. This framework was implemented, evaluated, and compared with existing biological data integration solutions.
Library of Congress Subject Headings
Human Genome Project--Data processing; Database management; Computational biology; Relational databases
Computer Science (MS)
Department, Program, or Center
Computer Science (GCCIS)
Dutta, Prabin, "A framework for integrating DNA sequenced data" (2008). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus