| Title |
Application of comparative biology in GO functional annotation: the mouse model
|
|---|---|
| Published in |
Mammalian Genome, July 2015
|
| DOI | 10.1007/s00335-015-9580-0 |
| Pubmed ID | |
| Authors |
Harold J. Drabkin, Karen R. Christie, Mary E. Dolan, David P. Hill, Li Ni, Dmitry Sitnikov, Judith A. Blake |
| Abstract |
The Gene Ontology (GO) is an important component of modern biological knowledge representation with great utility for computational analysis of genomic and genetic data. The Gene Ontology Consortium (GOC) consists of a large team of contributors including curation teams from most model organism database groups as well as curation teams focused on representation of data relevant to specific human diseases. Key to the generation of consistent and comprehensive annotations is the development and use of shared standards and measures of curation quality. The GOC engages all contributors to work to a defined standard of curation that is presented here in the context of annotation of genes in the laboratory mouse. Comprehensive understanding of the origin, epistemology, and coverage of GO annotations is essential for most effective use of GO resources. Here the application of comparative approaches to capturing functional data in the mouse system is described. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 13 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 40% |
| Other | 1 | 7% |
| Professor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 20% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Computer Science | 2 | 13% |
| Engineering | 2 | 13% |
| Social Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 July 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Mammalian Genome
#1,064
of 1,126 outputs
Outputs of similar age
#219,154
of 262,765 outputs
Outputs of similar age from Mammalian Genome
#19
of 21 outputs
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