{"id":12454,"date":"2023-11-15T11:35:13","date_gmt":"2023-11-15T16:35:13","guid":{"rendered":"https:\/\/ncbiinsights.ncbi.nlm.nih.gov\/?p=12454"},"modified":"2023-11-15T11:35:13","modified_gmt":"2023-11-15T16:35:13","slug":"gene-ontology-terms-refseq-eukaryotic-genomes","status":"publish","type":"post","link":"https:\/\/ncbiinsights.ncbi.nlm.nih.gov\/2023\/11\/15\/gene-ontology-terms-refseq-eukaryotic-genomes\/","title":{"rendered":"Gene Ontology (GO) Terms for NCBI RefSeq Eukaryotic Genomes"},"content":{"rendered":"

Are you interested in more functional information about protein-coding genes?\u202f<\/span>We\u2019ve expanded NCBI RefSeq’s <\/span>Eukaryote Genome Annotation Pipeline (EGAP)<\/span><\/a> to include Gene Ontology (GO) terms computed for most protein-coding genes. We are using the latest version of <\/span>InterProScan<\/span><\/a>, which now includes analysis based on <\/span>PANTHER reference trees<\/span><\/a>, on all NCBI RefSeq eukaryotic genomes. That means having comprehensive GO data with inferred biological process, molecular function, and cellular component terms matched with high-quality RefSeq annotations across hundreds of taxa to help drive your research. The data is available on individual records in <\/span>NCBI’s Gene resource<\/span><\/a>, <\/span>NCBI Gene FTP<\/span><\/a>, or in community standard .gaf formatted files with each RefSeq genome release on our <\/span>FTP<\/span><\/a> site<\/span>.<\/span>\u00a0<\/span><\/p>\n

Features & Benefits<\/span><\/b>\u00a0<\/span><\/h5>\n

GO terms allow you to quickly and easily:\u00a0<\/span>\u00a0<\/span><\/p>\n