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Mao et al., 2005 - Google Patents

An assessment of a metric space database index to support sequence homology

Mao et al., 2005

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Document ID
1332991874092326367
Author
Mao R
Xu W
Singh N
Miranker D
Publication year
Publication venue
International Journal on Artificial Intelligence Tools

External Links

Snippet

Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can be leveraged as a basis for scalable database index structures capable of managing the …
Continue reading at www.cs.utexas.edu (PDF) (other versions)

Classifications

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    • G06F17/30386—Retrieval requests
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    • G06F17/30312—Storage and indexing structures; Management thereof
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    • G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
    • G—PHYSICS
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