Best Practices in Manual Annotation with the Gene Ontology.
The Gene Ontology (GO) is a framework designed to represent biological knowledge about gene products' biological roles and the cellular location in which they act. Biocuration is a complex process: the body of scientific literature is large and selection of appropriate GO terms can be challenging. Both these issues are compounded by the fact that our understanding of biology is still incomplete; hence it is important to appreciate that GO is inherently an evolving model. In this chapter, we describe how biocurators create GO annotations from experimental findings from research articles. We describe the current best practices for high-quality literature curation and how GO curators succeed in modeling biology using a relatively simple framework. We also highlight a number of difficulties when translating experimental assays into GO annotations.
Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel Servet, 1211, Geneva 4, Switzerland.
Sylvain
S
Poux
CALIPHO group, SIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel Servet, 1211, Geneva 4, Switzerland. pascale.gaudet@sib.swiss.|Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland. pascale.gaudet@sib.swiss.
Pascale
P
Gaudet
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D063990:Gene Ontology; D006801:Humans; D058977:Molecular Sequence Annotation / Q000379:methods*; D010641:Phenotype; D011506:Proteins / Q000235:genetics / Q000378:metabolism
D011506:Proteins
Biocuration; Expert curation; Gene ontology; Protein annotation