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DILS
2004
Springer
13 years 11 months ago
Efficient Techniques to Explore and Rank Paths in Life Science Data Sources
Abstract. Life science data sources represent a complex link-driven federation of publicly available Web accessible sources. A fundamental need for scientists today is the ability ...
Zoé Lacroix, Louiqa Raschid, Maria-Esther V...
WEBDB
2005
Springer
103views Database» more  WEBDB 2005»
14 years 1 months ago
A Data Model and Query Language to Explore Enhanced Links and Paths in Life Science Sources
George A. Mihaila, Felix Naumann, Louiqa Raschid, ...
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
14 years 7 months ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
DILS
2004
Springer
14 years 28 days ago
Links and Paths through Life Sciences Data Sources
An abundance of biological data sources contain data on classes of scientific entities, such as genes and sequences. Logical relationships between scientific objects are implemen...
Zoé Lacroix, Hyma Murthy, Felix Naumann, Lo...
DILS
2007
Springer
13 years 11 months ago
Accelerating Disease Gene Identification Through Integrated SNP Data Analysis
Information about small genetic variations in organisms, known as single nucleotide polymorphism (SNPs), is crucial to identify candidate genes that have a role in disease suscepti...
Paolo Missier, Suzanne M. Embury, Cornelia Hedeler...