| Chapter title |
The Gene Expression Omnibus Database
|
|---|---|
| Chapter number | 5 |
| Book title |
Statistical Genomics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3578-9_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3576-5, 978-1-4939-3578-9
|
| Authors |
Emily Clough, Tanya Barrett, Clough, Emily, Barrett, Tanya |
| Editors |
Ewy Mathé, Sean Davis |
| Abstract |
The Gene Expression Omnibus (GEO) database is an international public repository that archives and freely distributes high-throughput gene expression and other functional genomics data sets. Created in 2000 as a worldwide resource for gene expression studies, GEO has evolved with rapidly changing technologies and now accepts high-throughput data for many other data applications, including those that examine genome methylation, chromatin structure, and genome-protein interactions. GEO supports community-derived reporting standards that specify provision of several critical study elements including raw data, processed data, and descriptive metadata. The database not only provides access to data for tens of thousands of studies, but also offers various Web-based tools and strategies that enable users to locate data relevant to their specific interests, as well as to visualize and analyze the data. This chapter includes detailed descriptions of methods to query and download GEO data and use the analysis and visualization tools. The GEO homepage is at http://www.ncbi.nlm.nih.gov/geo/ . |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Unknown | 756 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 115 | 15% |
| Student > Bachelor | 95 | 13% |
| Student > Master | 94 | 12% |
| Researcher | 72 | 9% |
| Student > Doctoral Student | 27 | 4% |
| Other | 94 | 12% |
| Unknown | 262 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 199 | 26% |
| Agricultural and Biological Sciences | 70 | 9% |
| Computer Science | 45 | 6% |
| Medicine and Dentistry | 35 | 5% |
| Engineering | 17 | 2% |
| Other | 85 | 11% |
| Unknown | 308 | 41% |