| Chapter title |
The eukaryotic pathogen databases: a functional genomic resource integrating data from human and veterinary parasites.
|
|---|---|
| Chapter number | 1 |
| Book title |
Parasite Genomics Protocols
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1438-8_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1437-1, 978-1-4939-1438-8
|
| Authors |
Omar S Harb, David S Roos, Harb OS, Roos DS, Omar S. Harb, David S. Roos, Harb, Omar S., Roos, David S. |
| Abstract |
Over the past 20 years, advances in high-throughput biological techniques and the availability of computational resources including fast Internet access have resulted in an explosion of large genome-scale data sets "big data." While such data are readily available for download and personal use and analysis from a variety of repositories, often such analysis requires access to seldom-available computational skills. As a result a number of databases have emerged to provide scientists with online tools enabling the interrogation of data without the need for sophisticated computational skills beyond basic knowledge of Internet browser utility. This chapter focuses on the Eukaryotic Pathogen Databases (EuPathDB: http://eupathdb.org ) Bioinformatic Resource Center (BRC) and illustrates some of the available tools and methods. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 18% |
| Student > Bachelor | 2 | 18% |
| Librarian | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 27% |
| Computer Science | 2 | 18% |
| Agricultural and Biological Sciences | 2 | 18% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Unknown | 3 | 27% |