| Chapter title |
NetoVIR: Modular Approach to Customize Sample Preparation Procedures for Viral Metagenomics
|
|---|---|
| Chapter number | 7 |
| Book title |
The Human Virome
|
| Published in |
Methods in molecular biology, August 2018
|
| DOI | 10.1007/978-1-4939-8682-8_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-8681-1, 978-1-4939-8682-8
|
| Authors |
Nádia Conceição-Neto, Kwe Claude Yinda, Marc Van Ranst, Jelle Matthijnssens, Conceição-Neto, Nádia, Yinda, Kwe Claude, Van Ranst, Marc, Matthijnssens, Jelle |
| Abstract |
The democratization of next-generation sequencing (NGS) technologies has enabled scientists to explore the diversity of microbial life in various ecological niches in an unpreceded depth. The role of viruses as a key player in health and disease is becoming increasingly clear. To address the need for an up scalable, reproducible protocol to purify RNA and DNA viruses from a sample, we describe our optimized method. The Novel Enrichment Technique Of Viromes (NetoVIR) allows researchers to attain a fast, reproducible, and high-throughput sample preparation protocol for NGS gut viromics studies. With appropriate prior homogenization steps, this protocol can be extended to any biological samples. |
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 | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 18% |
| Student > Ph. D. Student | 15 | 17% |
| Student > Bachelor | 11 | 12% |
| Student > Master | 11 | 12% |
| Student > Postgraduate | 4 | 4% |
| Other | 8 | 9% |
| Unknown | 25 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 23% |
| Agricultural and Biological Sciences | 14 | 16% |
| Immunology and Microbiology | 8 | 9% |
| Veterinary Science and Veterinary Medicine | 5 | 6% |
| Engineering | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 34 | 38% |