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» Data capture in bioinformatics: requirements and experiences...
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HPDC
2010
IEEE
13 years 6 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
HPCA
2006
IEEE
14 years 5 months ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
BIB
2000
117views more  BIB 2000»
13 years 5 months ago
Ontology-based Knowledge Representation for Bioinformatics
Much of biology works by applying prior knowledge (`what is known') to an unknown entity, rather than the application of a set of axioms that will elicit knowledge. In additi...
Robert Stevens, Carole A. Goble, Sean Bechhofer
BMCBI
2008
89views more  BMCBI 2008»
13 years 5 months ago
R/parallel - speeding up bioinformatics analysis with R
Background: R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. Such methods ca...
Gonzalo Vera, Ritsert C. Jansen, Remo Suppi
BIB
2008
77views more  BIB 2008»
13 years 5 months ago
Experience using web services for biological sequence analysis
Programmatic access to data and tools through the web using so-called web services has an important role to play in bioinformatics. In this article, we discuss the most popular ap...
Heinz Stockinger, Teresa K. Attwood, Shahid Nadeem...