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24 de abr. 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.
14 de may. de 2024 · GeneCards is a searchable, integrative database that provides comprehensive, user-friendly information on all annotated and predicted human genes. The knowledgebase automatically integrates gene-centric data from ~150 web sources, including genomic, transcriptomic, proteomic, genetic, clinical and functional information.
- A Gene Name
- A Protein Accession Number
- A Nucleotide Accession Number
- A Protein Sequence
- A Nucleotide Sequence
From the NCBI home page, click on the Search pull-down menu to select the Gene database, type the Gene Name in the text box and click Go. See Gene Helpfor tips searching Gene.Locate the desired Gene record in the results and click the symbol to open the record.Functional information will be located in the Summary, Bibliography, and General gene info sections. Also, see the Links list for resources such as Conserved Domains and BioSystems.From the NCBI home page, search All Databases by typing the accession number in the search box and click the Go button.Select the Gene database on the results page, if possible, and continue with step 3 in the "A Gene Name" section above. If there are no records identified in the Gene database for your search, sele...If you are viewing a Protein record, click on "More about the xxx gene" link in the right hand side of the page (you may need to scroll down to find it). Continue with step 3 in the "A Gene Name" s...If there is no "More about the xxx gene" link, in the upper right of this Protein record page you can "Analyze this sequence" by clicking on "Identify Conserved Domains". The resulting page will li...From the NCBI home page, search All Databases by typing the accession number in the search box and click the Go button.Select the Gene database on the results page, if possible, and continue with step 3 in the "A Gene Name" section above. If there are no records identified in the Gene database for your search, sele...If you are viewing a Nucleotide record, click on "More about the xxx gene" link in the right hand side of the page (you may need to scroll down to find it). Continue with step 3 in the "A Gene Name...If there is no "More about the xxx gene" link, in the lower right of this Nucleotide record page look for a link to Related Sequences, Protein or PubMed in the "All Links to this Record" section. A...Go to the BLAST home pageand click "protein blast" under Basic BLAST.Paste the sequence in the query box and click the BLAST button.Click on the accession number of the desired sequence from the results and continue with step 4 in the "A Protein Accession Number" section above.Go to the BLAST home pageand click "nucleotide blast" under Basic BLAST.Paste the sequence in the query box, choose a database, and click the BLAST button.Click on the accession number of the desired sequence from the results and continue with step 4 in the "A Nucleotide Accession Number" section above.Also, consider running a BLASTx search with the sequence to identify related proteins.Human. , P05067. , organism_id:9606. UniProt is the world’s leading high-quality, comprehensive and freely accessible resource of protein sequence and functional information. Cite UniProt. Do data resources managed by EMBL-EBI and our collaborators make a difference to your work?
Find the function of a gene or gene product. Find published information about a gene. Find a homolog for a gene in another organism. Find expression patterns for a gene. more... Gene Loci. gene summary information and links. clusters of expressed sequences. Nucleotide. gene and transcript sequences. Homologs. HomoloGene.
Gene. Gene integrates information from a wide range of species. A record may include nomenclature, Reference Sequences (RefSeqs), maps, pathways, variations, phenotypes, and links to genome-, phenotype-, and locus-specific resources worldwide.
KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies.
