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Integration Informatics (Data, Tool, Application and Information Integration) |
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Introduction The DKE Laboratory, established in 1991, is a research facility in the Department of Computer Science at the New Jersey Institute of Technology (NJIT), New Jersey's Science and Technology University, devoted to the area of data and knowledge engineering. The Laboratory is actively engaged in both forward looking research projects and applied research projects, designing novel algorithms and tools and tackling problems facing today's database and knowledge engineers. The Laboratory has a four-part mission:
The Laboratory has three major goals:
The BIOLSI Laboratory, co-located with the DKE Laboratory, is a research facility in the Department of Computer Science at the New Jersey Institute of Technology, New Jersey's Science and Technology University, devoted to the area of bioinformatics and life science informatics. The BIOLSI Laboratory shares the same mission and goals as the DKE Laboratory, with a focus on interdisciplinary research and education. The BIOLSI Laboratory is a participant of the Joint Biomedical Engineering PhD Program offered by the University of Medicine and Dentistry-New Jersey Medical School and NJIT, the Quantitative Neurosciences Doctoral Training Program funded by the Howard Hughes Medical Institute, and the MS in Computational Biology Program funded by the Alfred P. Sloan Foundation. Current research efforts concentrate on data mining and database management in comparative genomics, phylogenomics and genetics, RNA genomics, regulatory genomics, systems biology, cheminformatics, quantitative neurosciences, and neuroinformatics. Current and past research projects conducted in the DKE and BIOLSI Laboratories include MDSDB (Motif Discovery in Scientific Databases), PDCDB (Pattern Discovery in Combinatorial Databases), ASES (Approximate Search Engine for Structure), RADAR (RNA Data Analysis and Research), PhyloGO (Phylogenetic Gene Ontology) and ChemMiner. Thanks for visiting our Laboratories. We look forward to hearing from you.
Jason T. L. Wang, Ph.D. |
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Publications
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Analysis of Biological Data: A Soft Computing Approach
Sanghamitra Bandyopadhyay, Ujjwal Maulik and Jason T. L. Wang (eds.) World Scientific Publishing Company, 2007 ISBN 978-981-270-780-2 |
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Data Mining in Bioinformatics
Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen and Dennis Shasha (eds.) Springer, 2005 ISBN 1-85233-671-4 |
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Mining the World Wide Web:
An Information Search Approach (Japanese Translation) George Chang, Marcus J. Healey, James A. M. McHugh and Jason T. L. Wang http://www.kyoritsu-pub.co.jp/, Japan, 2004 ISBN 4-320-12087-6 |
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Computational Biology and Genome Informatics
Jason T. L. Wang, Cathy H. Wu and Paul P. Wang (eds.) World Scientific Publishing Company, 2003 ISBN 981-238-257-7 |
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Mining the World Wide Web: An Information Search Approach
George Chang, Marcus J. Healey, James A. M. McHugh and Jason T. L. Wang Kluwer Academic Publishers, 2001 ISBN 0-7923-7349-9 |
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Pattern Discovery in Biomolecular Data:
Tools, Techniques, and Applications Jason T. L. Wang, Bruce A. Shapiro and Dennis Shasha (eds.) Oxford University Press, 1999 ISBN 0-19-511940-1 |
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Acknowledgments The following students have made contributions to various phases of the projects conducted in the Labs.
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