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BMCBI
2008
116views more  BMCBI 2008»
15 years 7 months ago
Gene Ontology annotations: what they mean and where they come from
To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations o...
David P. Hill, Barry Smith, Monica S. McAndrews-Hi...
RECOMB
2007
Springer
16 years 7 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
EUROPAR
2009
Springer
16 years 1 months ago
A Case Study of Communication Optimizations on 3D Mesh Interconnects
Optimal network performance is critical to efficient parallel scaling for communication-bound applications on large machines. With wormhole routing, no-load latencies do not increa...
Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kal&ea...
PADS
2009
ACM
16 years 1 months ago
Scalable Time Warp on Blue Gene Supercomputers
Abstract—In this paper we illustrate scalable parallel performance for the Time Warp synchronization protocol on the L and P variants of the IBM Blue Gene supercomputer. Scalable...
David W. Bauer, Christopher D. Carothers, Akintayo...
IWANN
2009
Springer
16 years 1 months ago
Identifying Gene Ontology Areas for Automated Enrichment
Biomedical ontologies provide a commonly accepted scheme for the characterization of biological concepts that enable knowledge sharing and integration. Updating and maintaining an ...
Catia Pesquita, Tiago Grego, Francisco M. Couto