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

スポンサーリンク

概要

• 論文の詳細を見る

• 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.

著者

• ICHIKAWA HIROAKI

  National Institute of Agrobiological Sciences

• NAKAMURA HIDEMITSU

  National Institute of Agrobiological Sciences

• NUMA HISATAKA

  National Institute of Agrobiological Sciences

• ONODERA NATSUO

  School of Library and Information Science, University of Tsukuba

• Amano Kou

  School Of Library And Information Science University Of Tsukuba:national Institute Of Agrobiological

• Onodera Natsuo

  School Of Library And Information Science University Of Tsukuba

• Nagamura Yoshiaki

  National Institute Of Agrobiological Resources

• Fukami-kobayashi Kaoru

  School Of Library And Information Science University Of Tsukuba:riken Bioresource Center

関連論文

• Self-organizing Clustering : Non-hierarchical Clustering for Large Scale DNA Sequence Data(Database/Software Paper)
• Quantitative Trait Locus Analysis of Flowering Time in Soybean Using a RFLP Linkage Map
• Isolation of Four RAD23 Genes from Arabidopsis thaliana and Detection of Alternative Splicing Variants
• Overexpression of a calcium-dependent protein kinase gene enhances growth of rice under low-nitrogen conditions
• Overexpression of a calcium-dependent protein kinase gene enhances growth of rice under low-nitrogen conditions
• Gibberellin Regulates Mitochondrial Pyruvate Dehydrogenase Activity in Rice
• Production and characterization of a large population of cDNA-overexpressing transgenic rice plants using Gateway-based full-length cDNA expression libraries
• Two Alternatively Spliced Transcripts Generated from OsMUS81, a Rice Homolog of Yeast MUS81, Are Up-Regulated by DNA-Damaging Treatments
• From Mapping to Sequencing, Post-sequencing and Beyond
• Molecular Characterization of True and Ectopic Gene Targeting Events at the Acetolactate Synthase Gene in Arabidopsis
• Molecular cloning and characterization of Rad51 family genes from Arabidopsis
• Characterization of an Elicitor-Induced Rice WRKY Gene, OsWRKY71
• A method for obtaining high quality RNA from paraffin sections of plant tissues by laser microdissection
• Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data
• Self-organizing Clustering: Non-hierarchical Clustering for Large Scale DNA Sequence Data

もっと見る 閉じる

スポンサーリンク