Sequence Ontology terminology for gene regulation
David W Sant1, Michael Sinclair2, Christopher J Mungall3
1Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA; Department of Biomedical Sciences, Noorda College of Osteopathic Medicine, Provo, UT, USA.
Biochimica Et Biophysica Acta. Gene Regulatory Mechanisms
|August 14, 2021
Summary
Recent updates to the Sequence Ontology (SO) enhance gene expression regulation understanding. These improvements provide more accurate terms and relationships for molecular-level gene regulation research.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- The Sequence Ontology (SO) is a controlled vocabulary for genomic annotation.
- The Gene Regulation Ensemble Effort for the Knowledge Commons (GREEKC) aims to curate gene expression regulation information.
- Existing SO terms required updates to reflect current biological knowledge.
Purpose of the Study:
- To discuss recent updates to the Sequence Ontology (SO).
- To improve human-readable terms and relationships for gene expression regulation.
- To support logical reasoning in molecular-level gene regulation studies.
Main Methods:
- Incorporated input from researchers, including the SO, Gene Ontology (GO), and gene regulation experts.
- Developed new, more accurate human-readable terms (classes) and definitions.
- Established new relationships reflecting current understanding of gene expression events.
Main Results:
- Enhanced SO with updated terms and definitions for gene expression regulation.
- Introduced new relationships detailing the order and participants in gene regulation events.
- Improved the SO's capacity to support logical reasoning about gene expression.
Conclusions:
- The updated SO accurately reflects current knowledge in gene regulation.
- These SO enhancements facilitate a deeper understanding of molecular gene expression.
- The revised SO is a valuable resource for genomic annotation and gene regulation research.
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