| Title |
Monitoring Genomic Sequences during SELEX Using High-Throughput Sequencing: Neutral SELEX
|
|---|---|
| Published in |
PLOS ONE, February 2010
|
| DOI | 10.1371/journal.pone.0009169 |
| Pubmed ID | |
| Authors |
Bob Zimmermann, Tanja Gesell, Doris Chen, Christina Lorenz, Renée Schroeder |
| Abstract |
SELEX is a well established in vitro selection tool to analyze the structure of ligand-binding nucleic acid sequences called aptamers. Genomic SELEX transforms SELEX into a tool to discover novel, genomically encoded RNA or DNA sequences binding a ligand of interest, called genomic aptamers. Concerns have been raised regarding requirements imposed on RNA sequences undergoing SELEX selection. |
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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| France | 2 | 1% |
| Portugal | 1 | <1% |
| Hungary | 1 | <1% |
| United Kingdom | 1 | <1% |
| Austria | 1 | <1% |
| Japan | 1 | <1% |
| China | 1 | <1% |
| Unknown | 135 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 48 | 32% |
| Student > Ph. D. Student | 39 | 26% |
| Student > Master | 19 | 13% |
| Student > Bachelor | 13 | 9% |
| Other | 8 | 5% |
| Other | 20 | 13% |
| Unknown | 2 | 1% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 49% |
| Biochemistry, Genetics and Molecular Biology | 27 | 18% |
| Chemistry | 14 | 9% |
| Medicine and Dentistry | 5 | 3% |
| Materials Science | 4 | 3% |
| Other | 16 | 11% |
| Unknown | 10 | 7% |