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Interpolative Multidimensional Scaling Techniques for the Identification of Clusters in Very Large Sequence Sets

Interpolative Multidimensional Scaling Techniques for the Identification of Clusters in Very Large Sequence Sets. April 27, 2011. 16S rRNA Sequence Diversity and Abundance 1. *. Pyrosequencing capable of generating millions of sequence reads from environmental samples

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High Performance Data Mining On Multi-core systems

S A L S A Team Geoffrey Fox Xiaohong Qiu Huapeng Yuan Seung-Hee Bae Indiana University Technology Collaboration George Chrysanthakopoulos Henrik Frystyk Nielsen Microsoft Application Collaboration Cheminformatics Rajarshi Guha David Wild Bioinformatics

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143 views • 4 slides

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Interpolative Multidimensional Scaling Techniques for the Identification of Clusters in Very Large Sequence Sets

High Performance Data Mining On Multi-core systems