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» Massively Parallel Solutions for Molecular Sequence Analysis
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CLADE
2008
IEEE
14 years 4 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
ICDCS
2010
IEEE
14 years 10 days ago
ASAP: Scalable Identification and Counting for Contactless RFID Systems
The growing importance of operations such as identification, location sensing and object tracking has led to increasing interests in contactless Radio Frequency Identification (RFI...
Chen Qian, Yunhuai Liu, Hoilun Ngan, Lionel M. Ni
CODES
2005
IEEE
14 years 4 months ago
System-level design automation tools for digital microfluidic biochips
Biochips based on digital microfluidics offer a powerful platform for massively parallel biochemical analysis such as clinical diagnosis and DNA sequencing. Current full-custom de...
Krishnendu Chakrabarty, Fei Su
SIGMOD
2010
ACM
321views Database» more  SIGMOD 2010»
14 years 3 months ago
HadoopDB in action: building real world applications
HadoopDB is a hybrid of MapReduce and DBMS technologies, designed to meet the growing demand of analyzing massive datasets on very large clusters of machines. Our previous work ha...
Azza Abouzied, Kamil Bajda-Pawlikowski, Jiewen Hua...
BMCBI
2008
214views more  BMCBI 2008»
13 years 9 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...