| Title |
De Novo Assembly, Characterization and Functional Annotation of Pineapple Fruit Transcriptome through Massively Parallel Sequencing
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0046937 |
| Pubmed ID | |
| Authors |
Wen Dee Ong, Lok-Yung Christopher Voo, Vijay Subbiah Kumar |
| Abstract |
Pineapple (Ananas comosus var. comosus), is an important tropical non-climacteric fruit with high commercial potential. Understanding the mechanism and processes underlying fruit ripening would enable scientists to enhance the improvement of quality traits such as, flavor, texture, appearance and fruit sweetness. Although, the pineapple is an important fruit, there is insufficient transcriptomic or genomic information that is available in public databases. Application of high throughput transcriptome sequencing to profile the pineapple fruit transcripts is therefore needed. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 6 | 30% |
| United Kingdom | 2 | 10% |
| France | 2 | 10% |
| Canada | 1 | 5% |
| Brazil | 1 | 5% |
| Germany | 1 | 5% |
| Russia | 1 | 5% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 70% |
| Scientists | 6 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Mexico | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 92 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 24% |
| Researcher | 18 | 18% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 11 | 11% |
| Student > Postgraduate | 6 | 6% |
| Other | 17 | 17% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 51% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Computer Science | 4 | 4% |
| Nursing and Health Professions | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 12 | 12% |
| Unknown | 14 | 14% |