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» Clustering Genes Using Heterogeneous Data Sources
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JUCS
2008
196views more  JUCS 2008»
14 years 12 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
BMCBI
2004
200views more  BMCBI 2004»
14 years 11 months ago
ABC: software for interactive browsing of genomic multiple sequence alignment data
Background: Alignment and comparison of related genome sequences is a powerful method to identify regions likely to contain functional elements. Such analyses are data intensive, ...
Gregory M. Cooper, Senthil A. G. Singaravelu, Aren...
COOPIS
2003
IEEE
15 years 5 months ago
Ontology Based Query Processing in Database Management Systems
The use of semantic knowledge in its various forms has become an important aspect in managing data in database and information systems. In the form of integrity constraints, it ha...
Chokri Ben Necib, Johann Christoph Freytag
BMCBI
2010
137views more  BMCBI 2010»
15 years 4 hour ago
Biana: a software framework for compiling biological interactions and analyzing networks
Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature sy...
Javier Garcia-Garcia, Emre Guney, Ramon Aragues, J...
EDBT
2009
ACM
218views Database» more  EDBT 2009»
15 years 6 months ago
Data integration flows for business intelligence
Business Intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable better decisi...
Umeshwar Dayal, Malú Castellanos, Alkis Sim...