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安裝中文字典英文字典辭典工具!

安裝中文字典英文字典辭典工具!








  • KEGG: Kyoto Encyclopedia of Genes and Genomes
    KEGG (Kyoto Encyclopedia of Genes and Genomes) is a bioinformatics resource for linking genomes to life and the environment
  • KEGG PATHWAY Database - GenomeNet
    The pathway map viewer linked from this page is a part of KEGG Web Apps and contains features of KEGG mapping
  • GenomeNet
    KEGG: Kyoto Encyclopedia of Genes and Genomes KEGG2 - Table of contents KEGG PATHWAY - Systems information: pathways KEGG BRITE - Systems information: ontologies KEGG Organisms - Organism-specific entry points KEGG GENES - Genomic information KEGG LIGAND - Chemical information KEGG MEDICUS - Health information KEGG OC - KEGG ortholog clusters
  • KEGG Database - GenomeNet
    The KEGG database project was initiated in 1995 under the Japanese Human Genome Project, foreseeing the need for a reference resource that would enable understanding of the biological systems, such as the cell and the organism, from genome sequence data
  • KEGG GENOME Database
    KEGG organisms are manually organized in a simple hierarchy of taxonomic classification with predefined ordering of organisms starting with hsa (Homo sapiens) The hierarchy is shown in the following two Brite files with identical contents
  • KEGG Overview - GenomeNet
    KEGG is a reference knowledge base that links genomes to biological systems It is widely used with the KEGG mapping procedure for integration and interpretation of large-scale molecular data sets generated by genome sequencing and other high-throughput experimental technologies
  • KEGG - Table of Contents - GenomeNet
    Organism-specific entry points KEGG organisms - list of currently available organisms with organism codes and organism group names Enter organism code or T number (examples) hsa eco T01001 T00007
  • KEGG Mapper – Convert ID - GenomeNet
    Convert ID is a tool for converting entry identifiers (accession numbers) of outside databases to KEGG identifiers, which is necessary for most KEGG Mapper tools


















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