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SIGCSE
2002
ACM
118views Education» more  SIGCSE 2002»
13 years 7 months ago
A proposed undergraduate bioinformatics curriculum for computer scientists
Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the the artificial intelligen...
Travis E. Doom, Michael L. Raymer, Dan E. Krane, O...
TITB
2002
142views more  TITB 2002»
13 years 7 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
CORR
2002
Springer
78views Education» more  CORR 2002»
13 years 7 months ago
Linear-Time Algorithms for Computing Maximum-Density Sequence Segments with Bioinformatics Applications
an abstract optimization problem arising from biomolecular sequence analysis. For a sequence A of pairs (ai, wi) for i = 1, . . . , n and wi > 0, a segment A(i, j) is a consecu...
Michael H. Goldwasser, Ming-Yang Kao, Hsueh-I Lu
TITB
2002
98views more  TITB 2002»
13 years 7 months ago
OILing the way to machine understandable bioinformatics resources
The complex questions and analyses posed by biologists, as well as the diverse data resources they develop, require the fusion of evidence from different, independently developed ...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
BIOINFORMATICS
2002
123views more  BIOINFORMATICS 2002»
13 years 7 months ago
Making sense of microarray data distributions
Motivation: Typical analysis of microarray data has focused on spot by spot comparisons within a single organism. Less analysis has been done on the comparison of the entire distr...
David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Bra...