| Title |
Digital Gene Expression Analysis Based on Integrated De Novo Transcriptome Assembly of Sweet Potato [Ipomoea batatas (L.) Lam.]
|
|---|---|
| Published in |
PLOS ONE, April 2012
|
| DOI | 10.1371/journal.pone.0036234 |
| Pubmed ID | |
| Authors |
Xiang Tao, Ying-Hong Gu, Hai-Yan Wang, Wen Zheng, Xiao Li, Chuan-Wu Zhao, Yi-Zheng Zhang |
| Abstract |
Sweet potato (Ipomoea batatas L. [Lam.]) ranks among the top six most important food crops in the world. It is widely grown throughout the world with high and stable yield, strong adaptability, rich nutrient content, and multiple uses. However, little is known about the molecular biology of this important non-model organism due to lack of genomic resources. Hence, studies based on high-throughput sequencing technologies are needed to get a comprehensive and integrated genomic resource and better understanding of gene expression patterns in different tissues and at various developmental stages. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Germany | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| China | 2 | 1% |
| Kenya | 1 | <1% |
| Sweden | 1 | <1% |
| Austria | 1 | <1% |
| Slovakia | 1 | <1% |
| Chile | 1 | <1% |
| Slovenia | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 185 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 51 | 26% |
| Researcher | 42 | 21% |
| Student > Master | 20 | 10% |
| Student > Doctoral Student | 17 | 9% |
| Student > Postgraduate | 9 | 5% |
| Other | 32 | 16% |
| Unknown | 25 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 123 | 63% |
| Biochemistry, Genetics and Molecular Biology | 20 | 10% |
| Computer Science | 3 | 2% |
| Chemistry | 3 | 2% |
| Nursing and Health Professions | 2 | 1% |
| Other | 13 | 7% |
| Unknown | 32 | 16% |