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Gene Ontology Annotations for Homo Sapiens Gene Products

<p><strong>ABSTRACT:</strong></p> <p>This dataset&nbsp;displays the utilization of Gene Ontology (GO) and the web application AmiGO for gene annotation across multiple species, including Homo sapiens (humans). The study involves the analysis of diverse gene types such as complexes, RNAs, proteins, and isoforms which are all gene products found specifically in humans. The provided dataset encompasses comprehensive information regarding these genes, including data source companies, gene names, descriptions, and Gene Ontology IDs. By leveraging Gene Ontology and AmiGO, this research aims to provide valuable insights into the functional characteristics and annotations of different gene types, contributing to a deeper understanding of gene function in the context of human biology.</p> <p><strong>Instructions:</strong></p> <p>Data was collected as 4 separate sets with 4 different types of genes and the duplicated genes, organism type, references, and dates were removed. Links to the specific gene descriptions were added to the dataset as a new column. All four data sets&nbsp;are appended to one another&nbsp;because all of the columns are identical. Isoforms have a different link location going to UniProt.</p> <p><strong>Inspiration:</strong></p> <p>This dataset uploaded to U-BRITE for&nbsp; &quot;DRG_DEPOT&quot; summer 2023 team project.</p> <p><strong>Acknowledgements:</strong></p> <p><a href="https://pubmed.ncbi.nlm.nih.gov/?term=Carbon+S&amp;cauthor_id=19033274">Seth Carbon</a><sup>&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/19033274/#full-view-affiliation-1">1</a></sup>,&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Ireland+A&amp;cauthor_id=19033274">Amelia Ireland</a>,&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Mungall+CJ&amp;cauthor_id=19033274">Christopher J Mungall</a>,&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Shu+S&amp;cauthor_id=19033274">ShengQiang Shu</a>,&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Marshall+B&amp;cauthor_id=19033274">Brad Marshall</a>,&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Lewis+S&amp;cauthor_id=19033274">Suzanna Lewis</a>;&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=AmiGO+Hub%5BCorporate+Author%5D">AmiGO Hub</a>;&nbsp;<a href="https://pubmed.ncbi.nlm.nih.gov/?term=Web+Presence+Working+Group%5BCorporate+Author%5D">Web Presence Working Group</a></p> <p>Collaborators, Affiliations&nbsp;expand PMID:&nbsp;<strong>19033274</strong> PMCID:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pmc/articles/pmc2639003/">PMC2639003</a>&nbsp;DOI:&nbsp;<a href="https://doi.org/10.1093/bioinformatics/btn615">10.1093/bioinformatics/btn615</a></p> <p><strong>AmiGO&nbsp;online access to ontology and annotation data-&nbsp;</strong>&nbsp;https://amigo.geneontology.org/amigo/search/annotation</p> <p><strong>U-BRITE last update data:&nbsp;</strong>06/27/2023</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
0
Engagement
0

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