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Within this subset, 8820 articles (34%) have been used to make controlled vocabulary annotations.
Within this set, 8181 papers (34% of the gene name-containing subset) have been used to make controlled vocabulary annotations.
Each article was examined for experimental results that could be captured in the form of controlled vocabulary annotations, and these experimental results were compared with the set of annotations provided to TAIR by an author or other member of the research community via the TOAST interface.
The most commonly used method to convert published experimental data on gene function into controlled vocabulary annotations relies on a professional curator, employed by a model organism database or a more general resource such as UniProt, to read published articles and compose annotation statements based on the articles' contents.
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This controlled vocabulary annotation of samples is of paramount importance for effective downstream correlation of expression profiles with experimental, biological and clinical factors.
This technique is used in the tagging process, where a tag could be a link to any one of the controlled vocabulary, annotation or minimum information database tables.
This often makes it difficult for a curator to extract accurate information for ontology- or structured vocabulary-annotation from natural language used in the literature.
However, the GO Consortium now includes several annotation groups that focus on prokaryotes [ 5], further contributing to the expansion of the vocabulary and annotations.
Information about tissue expression and pathogenic LINE fusion transcripts was obtained by gene expression vocabulary (eVOC) annotations of cDNA library sources [ 26].
As its name suggests, Blast2GO mainly uses terms from the Gene Ontology (GO) controlled vocabulary for annotation, although it also includes other annotation classes.
WikiProteins is but one example of where the GO is being deployed to provide a standardized vocabulary for annotation across distributed data resources.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com