Document Type
Article
Publication Date
9-2020
Keywords
JMG
JAX Source
Open Biol 2020 Sep; 10(9):200149
Volume
10
Issue
9
First Page
200149
Last Page
200149
ISSN
2046-2441
PMID
32875947
DOI
https://doi.org/10.1098/rsob.200149
Abstract
Biological processes are accomplished by the coordinated action of gene products. Gene products often participate in multiple processes, and can therefore be annotated to multiple Gene Ontology (GO) terms. Nevertheless, processes that are functionally, temporally and/or spatially distant may have few gene products in common, and co-annotation to unrelated processes probably reflects errors in literature curation, ontology structure or automated annotation pipelines. We have developed an annotation quality control workflow that uses rules based on mutually exclusive processes to detect annotation errors, based on and validated by case studies including the three we present here: fission yeast protein-coding gene annotations over time; annotations for cohesin complex subunits in human and model species; and annotations using a selected set of GO biological process terms in human and five model species. For each case study, we reviewed available GO annotations, identified pairs of biological processes which are unlikely to be correctly co-annotated to the same gene products (e.g. amino acid metabolism and cytokinesis), and traced erroneous annotations to their sources. To date we have generated 107 quality control rules, and corrected 289 manual annotations in eukaryotes and over 52 700 automatically propagated annotations across all taxa.
Recommended Citation
Wood V,
Carbon S,
Harris M,
Lock A,
Engel S,
Hill DP,
Van Auken K,
Attrill H,
Feuermann M,
Gaudet P,
Lovering R,
Poux S,
Rutherford K,
Mungall C.
Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns. Open Biol 2020 Sep; 10(9):200149
Comments
This is an open access article distributed under the terms of the Creative Commons Attribution License.