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  1. 17 de jun. de 2024 · The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.

    • Ontology

      Gene Ontology overview. An ontology is a formal...

    • GO Annotations

      Cellular Component: where the gene products are active;...

    • Collaborations

      Collaborations The GO Consortium collaborates with many...

    • Search Documentation

      The Gene Ontology (GO) project is a major bioinformatics...

  2. 13 de jun. de 2024 · Gene Ontology and GO Annotations.

  3. 9 de jun. de 2024 · The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes. This knowledge is both human-readable and machine-readable, and is a foundation for computational analysis of large-scale molecular biology and genetics experiments in biomedical research.

  4. 10 de jun. de 2024 · KEGG PATHWAY is a collection of manually drawn pathway maps representing our knowledge of the molecular interaction, reaction and relation networks for: 1. Metabolism. Global/overview Carbohydrate Energy Lipid Nucleotide Amino acid Other amino Glycan.

  5. 9 de jun. de 2024 · Alliance of Genome Resources. Search Across Species. Explore model organism and human comparative genomics. All. Examples: RPB7. kinase. asthma. liver. More... Download Data Browse APIs View Publications Learn More. Join the Alliance User Community.

  6. 17 de jun. de 2024 · Overview. The gene association files ingested from GO Consortium members are shown in the table below. Files are in the GO annotation file format and are compressed using the UNIX gzip utility. Please see the upstream resource information for further details on the annotation set.

  7. Hace 6 días · The HGNC is a resource for approved human gene nomenclature containing ~42000 gene symbols and names and 1300+ gene families and sets.