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BMCBI
2010
144views more  BMCBI 2010»
13 years 11 months ago
Graph-based clustering and characterization of repetitive sequences in next-generation sequencing data
Background: The investigation of plant genome structure and evolution requires comprehensive characterization of repetitive sequences that make up the majority of higher plant nuc...
Petr Novák, Pavel Neumann, Jirí Maca...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 5 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
ISPASS
2003
IEEE
14 years 4 months ago
Performance study of a cluster runtime system for dynamic interactive stream-oriented applications
Emerging application domains such as interactive vision, animation, and multimedia collaboration display dynamic scalable parallelism, and high computational requirements, making ...
Arnab Paul, Nissim Harel, Sameer Adhikari, Bikash ...
AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
14 years 23 days ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
13 years 11 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li