| Title |
RNA-Seq Analysis of Cocos nucifera: Transcriptome Sequencing and De Novo Assembly for Subsequent Functional Genomics Approaches
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0059997 |
| Pubmed ID | |
| Authors |
Haikuo Fan, Yong Xiao, Yaodong Yang, Wei Xia, Annaliese S. Mason, Zhihui Xia, Fei Qiao, Songlin Zhao, Haoru Tang |
| Abstract |
Cocos nucifera (coconut), a member of the Arecaceae family, is an economically important woody palm grown in tropical regions. Despite its agronomic importance, previous germplasm assessment studies have relied solely on morphological and agronomical traits. Molecular biology techniques have been scarcely used in assessment of genetic resources and for improvement of important agronomic and quality traits in Cocos nucifera, mostly due to the absence of available sequence information. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Uruguay | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Slovakia | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 123 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 23% |
| Student > Ph. D. Student | 28 | 21% |
| Student > Master | 20 | 15% |
| Professor > Associate Professor | 8 | 6% |
| Student > Doctoral Student | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 57% |
| Biochemistry, Genetics and Molecular Biology | 25 | 19% |
| Computer Science | 5 | 4% |
| Social Sciences | 2 | 2% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 18 | 14% |