| Title |
Identification of Sequence Variants in Genetic Disease-Causing Genes Using Targeted Next-Generation Sequencing
|
|---|---|
| Published in |
PLOS ONE, December 2011
|
| DOI | 10.1371/journal.pone.0029500 |
| Pubmed ID | |
| Authors |
Xiaoming Wei, Xiangchun Ju, Xin Yi, Qian Zhu, Ning Qu, Tengfei Liu, Yang Chen, Hui Jiang, Guanghui Yang, Ruan Zhen, Zhangzhang Lan, Ming Qi, Jinming Wang, Yi Yang, Yuxing Chu, Xiaoyan Li, Yanfang Guang, Jian Huang |
| Abstract |
Identification of gene variants plays an important role in research on and diagnosis of genetic diseases. A combination of enrichment of targeted genes and next-generation sequencing (targeted DNA-HiSeq) results in both high efficiency and low cost for targeted sequencing of genes of interest. |
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 % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 2 | 2% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 107 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 25% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Master | 11 | 9% |
| Student > Bachelor | 10 | 9% |
| Other | 8 | 7% |
| Other | 19 | 16% |
| Unknown | 23 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 38% |
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Medicine and Dentistry | 15 | 13% |
| Neuroscience | 3 | 3% |
| Computer Science | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 27 | 23% |