| Chapter title |
Using WormBase: A Genome Biology Resource for Caenorhabditis elegans and Related Nematodes
|
|---|---|
| Chapter number | 14 |
| Book title |
Eukaryotic Genomic Databases
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7737-6_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7736-9, 978-1-4939-7737-6
|
| Authors |
Christian Grove, Scott Cain, Wen J. Chen, Paul Davis, Todd Harris, Kevin L. Howe, Ranjana Kishore, Raymond Lee, Michael Paulini, Daniela Raciti, Mary Ann Tuli, Kimberly Van Auken, Gary Williams, The WormBase Consortium, Grove, Christian, Cain, Scott, Chen, Wen J., Davis, Paul, Harris, Todd, Howe, Kevin L., Kishore, Ranjana, Lee, Raymond, Paulini, Michael, Raciti, Daniela, Tuli, Mary Ann, Auken, Kimberly, Williams, Gary, Auken, Kimberly Van |
| Abstract |
WormBase ( www.wormbase.org ) provides the nematode research community with a centralized database for information pertaining to nematode genes and genomes. As more nematode genome sequences are becoming available and as richer data sets are published, WormBase strives to maintain updated information, displays, and services to facilitate efficient access to and understanding of the knowledge generated by the published nematode genetics literature. This chapter aims to provide an explanation of how to use basic features of WormBase, new features, and some commonly used tools and data queries. Explanations of the curated data and step-by-step instructions of how to access the data via the WormBase website and available data mining tools are provided. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 20% |
| Student > Master | 5 | 17% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 30% |
| Computer Science | 5 | 17% |
| Agricultural and Biological Sciences | 3 | 10% |
| Medicine and Dentistry | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 7 | 23% |