Self-organizing Clustering : Non-hierarchical Clustering for Large Scale DNA Sequence Data(Database/Software Paper)

概要

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Recently, clustering has been recognized as an important and fundamental method that analyzes and classifies large-scale sequence data to provide useful information. We developed a novel clustering method designated as Self-organizing clustering (SOC) that uses oligonucleotide frequencies for large-scale DNA sequence data. We implemented SOC as a command-line program package, and developed a server that provides access to it enabling visualization of the results. SOC effectively and quickly classifies many sequences that have low or no homology to each other. The command-line program is downloadable at http://rgp.nias.offrc.go.jp/programs/. The on-line web site is publicly accessible at http://rgp.nias.offrc.go.jp/SDC/. The common gateway interface (CGI) for the server is also provided within the package.
一般社団法人情報処理学会の論文
2007-03-15