| Title |
A DNA-based pattern classifier with in vitro learning and associative recall for genomic characterization and biosensing without explicit sequence knowledge
|
|---|---|
| Published in |
Journal of Biological Engineering, November 2014
|
| DOI | 10.1186/1754-1611-8-25 |
| Pubmed ID | |
| Authors |
Ju Seok Lee, Junghuei Chen, Russell Deaton, Jin-Woo Kim |
| Abstract |
Genetic material extracted from in situ microbial communities has high promise as an indicator of biological system status. However, the challenge is to access genomic information from all organisms at the population or community scale to monitor the biosystem's state. Hence, there is a need for a better diagnostic tool that provides a holistic view of a biosystem's genomic status. Here, we introduce an in vitro methodology for genomic pattern classification of biological samples that taps large amounts of genetic information from all genes present and uses that information to detect changes in genomic patterns and classify them. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 27% |
| Unspecified | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 36% |
| Computer Science | 2 | 18% |
| Unspecified | 1 | 9% |
| Chemistry | 1 | 9% |
| Unknown | 3 | 27% |