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» Data Management for High-Throughput Genomics
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GLOBE
2010
Springer
13 years 5 months ago
High Throughput Data-Compression for Cloud Storage
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...
Bogdan Nicolae
BMCBI
2007
166views more  BMCBI 2007»
13 years 5 months ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
DILS
2007
Springer
13 years 7 months ago
A High-Throughput Bioinformatics Platform for Mass Spectrometry-Based Proteomics
The success of mass spectrometry-based proteomics in emerging applications such as biomarker discovery and clinical diagnostics, is predicated substantially on its ability to achie...
Thodoros Topaloglou, Moyez Dharsee, Rob M. Ewing, ...
GRID
2004
Springer
13 years 10 months ago
DIRAC: A Scalable Lightweight Architecture for High Throughput Computing
— DIRAC (Distributed Infrastructure with Remote Agent Control) has been developed by the CERN LHCb physics experiment to facilitate large scale simulation and user analysis tasks...
Andrei Tsaregorodtsev, Vincent Garonne, Ian Stokes...
IPPS
2010
IEEE
13 years 3 months ago
BlobSeer: Bringing high throughput under heavy concurrency to Hadoop Map-Reduce applications
Hadoop is a software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. The efficiency of ...
Bogdan Nicolae, Diana Moise, Gabriel Antoniu, Luc ...