| Title |
Next-generation sequencing library preparation method for identification of RNA viruses on the Ion Torrent Sequencing Platform
|
|---|---|
| Published in |
Virus Genes, May 2018
|
| DOI | 10.1007/s11262-018-1568-x |
| Pubmed ID | |
| Authors |
Guiqian Chen, Yuan Qiu, Qingye Zhuang, Suchun Wang, Tong Wang, Jiming Chen, Kaicheng Wang |
| Abstract |
Next generation sequencing (NGS) is a powerful tool for the characterization, discovery, and molecular identification of RNA viruses. There were multiple NGS library preparation methods published for strand-specific RNA-seq, but some methods are not suitable for identifying and characterizing RNA viruses. In this study, we report a NGS library preparation method to identify RNA viruses using the Ion Torrent PGM platform. The NGS sequencing adapters were directly inserted into the sequencing library through reverse transcription and polymerase chain reaction, without fragmentation and ligation of nucleic acids. The results show that this method is simple to perform, able to identify multiple species of RNA viruses in clinical samples. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 23% |
| Student > Master | 4 | 11% |
| Other | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 31% |
| Agricultural and Biological Sciences | 9 | 26% |
| Unspecified | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 8 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2018.
All research outputs
#18,606,163
of 23,047,237 outputs
Outputs from Virus Genes
#688
of 969 outputs
Outputs of similar age
#253,707
of 327,425 outputs
Outputs of similar age from Virus Genes
#10
of 15 outputs
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