| Chapter title |
The Gene Ontology and the Meaning of Biological Function
|
|---|---|
| Chapter number | 2 |
| Book title |
The Gene Ontology Handbook
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-3743-1_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3741-7, 978-1-4939-3743-1
|
| Authors |
Paul D. Thomas |
| Editors |
Christophe Dessimoz, Nives Škunca |
| Abstract |
The Gene Ontology (GO) provides a framework and set of concepts for describing the functions of gene products from all organisms. It is specifically designed for supporting the computational representation of biological systems. A GO annotation is an association between a specific gene product and a GO concept, together making a statement pertinent to the function of that gene. However, the meaning of the term "function" is not as straightforward as it might seem, and has been discussed at length in both philosophical and biological circles. Here, I first review these discussions. I then present an explicit formulation of the biological model that underlies the GO and annotations, and discuss how this model relates to the broader debates on the meaning of biological function. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 20% |
| Canada | 1 | 10% |
| France | 1 | 10% |
| Japan | 1 | 10% |
| United Kingdom | 1 | 10% |
| Italy | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Nigeria | 1 | <1% |
| Unknown | 150 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 13% |
| Student > Bachelor | 19 | 12% |
| Student > Master | 15 | 10% |
| Researcher | 12 | 8% |
| Unspecified | 5 | 3% |
| Other | 17 | 11% |
| Unknown | 65 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 19% |
| Agricultural and Biological Sciences | 17 | 11% |
| Medicine and Dentistry | 7 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
| Unspecified | 5 | 3% |
| Other | 20 | 13% |
| Unknown | 70 | 46% |