| Title |
A Novel Approach for Transcription Factor Analysis Using SELEX with High-Throughput Sequencing (TFAST)
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0042761 |
| Pubmed ID | |
| Authors |
Daniel J. Reiss, Frederick M. Howard, Harry L. T. Mobley |
| Abstract |
In previous work, we designed a modified aptamer-free SELEX-seq protocol (afSELEX-seq) for the discovery of transcription factor binding sites. Here, we present original software, TFAST, designed to analyze afSELEX-seq data, validated against our previously generated afSELEX-seq dataset and a model dataset. TFAST is designed with a simple graphical interface (Java) so that it can be installed and executed without extensive expertise in bioinformatics. TFAST completes analysis within minutes on most personal computers. |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| China | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 57 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 36% |
| Student > Ph. D. Student | 17 | 28% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 3 | 5% |
| Professor > Associate Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 41% |
| Biochemistry, Genetics and Molecular Biology | 15 | 25% |
| Medicine and Dentistry | 4 | 7% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 7 | 11% |