| Title |
An Improvement of Shotgun Proteomics Analysis by Adding Next-Generation Sequencing Transcriptome Data in Orange
|
|---|---|
| Published in |
PLOS ONE, June 2012
|
| DOI | 10.1371/journal.pone.0039494 |
| Pubmed ID | |
| Authors |
Jiaping Song, Renjie Sun, Dazhi Li, Fengji Tan, Xin Li, Pingping Jiang, Xinjie Huang, Liang Lin, Ziniu Deng, Yong Zhang |
| Abstract |
Shotgun proteomics data analysis usually relies on database search. Because commonly employed protein sequence databases of most species do not contain sufficient protein information, the application of shotgun proteomics to the research of protein sequence profile remains a big challenge, especially to the species whose genome has not been sequenced yet. |
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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 42 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 31% |
| Researcher | 9 | 20% |
| Professor > Associate Professor | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 44% |
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Computer Science | 6 | 13% |
| Engineering | 4 | 9% |
| Chemistry | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 1 | 2% |