| Chapter title |
A Multi-Omics Database for Parasitic Nematodes and Trematodes
|
|---|---|
| Chapter number | 13 |
| Book title |
Eukaryotic Genomic Databases
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7737-6_13 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7736-9, 978-1-4939-7737-6
|
| Authors |
John Martin, Rahul Tyagi, Bruce A. Rosa, Makedonka Mitreva, Martin, John, Tyagi, Rahul, Rosa, Bruce A., Mitreva, Makedonka |
| Abstract |
Helminth.net ( www.helminth.net ) is a web-based resource that was launched in 2000 as simply " Nematode.net " to host and investigate gene sequences from nematode genomes. Over the years it has evolved to become the moniker for a collection of databases: Nematode.net and Trematode.net . These databases host information for 73 nematode (roundworms) and 17 trematode (flatworms) species and serve as backbone for a number of tools that allow users to query slices of the data for multifactorial combinations of species-omics properties. Recent focus has been on inclusion of gene and protein expression data, population genomics and cross-kingdom interactions (metagenomics datasets). This chapter describes the website, the available tools and some of the new features. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 20% |
| United Kingdom | 2 | 20% |
| Chile | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
| Scientists | 1 | 10% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Master | 3 | 21% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 3 | 21% |
| Computer Science | 2 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Unknown | 4 | 29% |