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Mendeley readers
| Chapter title |
Next-Generation Analysis of Deep Sequencing Data: Bringing Light into the Black Box of SELEX Experiments
|
|---|---|
| Chapter number | 7 |
| Book title |
Nucleic Acid Aptamers
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3197-2_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3196-5, 978-1-4939-3197-2
|
| Authors |
Michael Blank, Blank, Michael |
| Abstract |
In silico analysis of next-generation sequencing data (NGS; also termed deep sequencing) derived from in vitro selection experiments enables the analysis of the SELEX procedure (Systematic Evolution of Ligands by EXponential enrichment) in an unprecedented depth and improves the identification of aptamers. Besides quality control and optimization of starting libraries, advanced screening strategies for difficult targets or early identification of rare but high quality aptamers which are otherwise lost in the in vitro selection experiments become possible. The high information content of sequence data obtained from selection experiments is furthermore useful for subsequent lead optimization. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| China | 1 | 3% |
| Unknown | 37 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 28% |
| Student > Ph. D. Student | 6 | 15% |
| Other | 4 | 10% |
| Student > Master | 4 | 10% |
| Professor | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 38% |
| Agricultural and Biological Sciences | 5 | 13% |
| Chemistry | 3 | 8% |
| Computer Science | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 8 | 21% |