GOChase: correcting errors from Gene Ontology-based annotations for gene products
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چکیده
منابع مشابه
GOChase: correcting errors from Gene Ontology-based annotations for gene products
SUMMARY The Gene Ontology (GO) is a controlled biological vocabulary that provides three structured networks of terms to describe biological processes, cellular components and molecular functions. Many databases of gene products are annotated using the GO vocabularies. We found that some GO-updating operations are not easily traceable by the current biological databases and GO browsers. Consequ...
متن کاملSUBMITTED AS AN APPLICATION NOTE Title: GOChase: Correcting Errors from Gene Ontology-based Annotations for Gene Products
Summary: The Gene Ontology (GO) is a controlled biological vocabulary that provides three structured networks of terms to describe biological processes, cellular components, and molecular functions. Many databases of gene products are annotated using the GO vocabularies. We found that some GO-updating operations are not easily traceable by the current biological databases and GO browsers. Conse...
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Motivation: The Gene Ontology (GO) project develops a standard way to describe gene products in terms of their associated biological processes, cellular components and molecular functions. However, it is far from complete. Due to lacking biological knowledge or other technical difficulties, many gene products do not have GO annotations, and the annotations for many other gene products are not s...
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Contemporary techniques in biology produce readouts for large numbers of genes simultaneously, the typical example being differential gene expression measurements. Moreover, those genes are often richly annotated using GO terms that describe gene function and that can be used to summarize the results of the genome-scale experiments. However, making sense of such GO enrichment analyses may be ch...
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The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations ...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2004
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bti106