| Chapter title |
Best Practices in Manual Annotation with the Gene Ontology
|
|---|---|
| Chapter number | 4 |
| Book title |
The Gene Ontology Handbook
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-3743-1_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
| Authors |
Sylvain Poux, Pascale Gaudet, Poux, Sylvain, Gaudet, Pascale |
| Editors |
Christophe Dessimoz, Nives Škunca |
| Abstract |
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. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Other | 2 | 11% |
| Student > Master | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Computer Science | 2 | 11% |
| Mathematics | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 22% |