Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data

• Item type: Trans(1)
• 公開日: 2007-03-15
• タイトル: Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data
• タイトル / 言語: en
• タイトル: Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Database/Software Paper
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: School of Library and Information Science University of Tsukuba / National Institute of Agrobiological Sciences
• 著者所属: National Institute of Agrobiological Sciences
• 著者所属: National Institute of Agrobiological Sciences
• 著者所属: National Institute of Agrobiological Sciences
• 著者所属: School of Library and Information Science University of Tsukuba / RIKEN BioResource Center
• 著者所属: National Institute of Agrobiological Sciences
• 著者所属: School of Library and Information Science University of Tsukuba
• 著者所属(英): en
• 著者所属(英): School of Library and Information Science, University of Tsukuba / National Institute of Agrobiological Sciences
• 著者所属(英): en
• 著者所属(英): National Institute of Agrobiological Sciences
• 著者所属(英): en
• 著者所属(英): National Institute of Agrobiological Sciences
• 著者所属(英): en
• 著者所属(英): National Institute of Agrobiological Sciences
• 著者所属(英): en
• 著者所属(英): School of Library and Information Science, University of Tsukuba / RIKEN BioResource Center
• 著者所属(英): en
• 著者所属(英): National Institute of Agrobiological Sciences
• 著者所属(英): en
• 著者所属(英): School of Library and Information Science, University of Tsukuba
• 著者名: Kou, Amano; Hiroaki, Ichikawa; Hidemitsu, Nakamura; Hisataka, Numa; KaoruFukami-Kobayashi; Yoshiaki, Nagamura; Natsuo, Onodera
• 著者名(英): Kou, Amano; Hiroaki, Ichikawa; Hidemitsu, Nakamura; Hisataka, Numa; Kaoru, Fukami-Kobayashi; Yoshiaki, Nagamura; Natsuo, Onodera
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.affrc.go.jp/programs/. The on-line web site is publicly accessible at http://rgp.nias.affrc.go.jp/SOC/. The common gateway interface (CGI) for the server is also provided within the package.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.affrc.go.jp/programs/. The on-line web site is publicly accessible at http://rgp.nias.affrc.go.jp/SOC/. The common gateway interface (CGI) for the server is also provided within the package.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12177013
• 書誌情報: IPSJ Transactions on Bioinformatics （TBIO）; 巻 48, 号 SIG5(TBIO2), p. 49-53, 発行日 2007-03-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6679
• 出版者 / 言語: ja
• 出版者: 情報処理学会