| dc.contributor.advisor | Cull, Paul | |
| dc.creator | Hsu, Tai C. | |
| dc.date.accessioned | 2012-08-16T21:09:55Z | |
| dc.date.available | 2012-08-16T21:09:55Z | |
| dc.date.copyright | 2003-06-20 | |
| dc.date.issued | 2003-06-20 | |
| dc.identifier.uri | http://hdl.handle.net/1957/32486 | |
| dc.description | Graduation date: 2004 | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject.lcsh | Matching theory | en_US |
| dc.subject.lcsh | Genetics -- Data processing | en_US |
| dc.subject.lcsh | Graphical user interfaces (Computer systems) | en_US |
| dc.subject.lcsh | Heuristic programming | en_US |
| dc.title | Walking tree methods for biological string matching | en_US |
| dc.type | Thesis/Dissertation | en_US |
| dc.degree.name | Doctor of Philosophy (Ph. D.) in Computer Science | en_US |
| dc.degree.level | Doctoral | en_US |
| dc.degree.discipline | Engineering | en_US |
| dc.degree.grantor | Oregon State University | en_US |
| dc.description.digitization | File scanned at 300 ppi (Monochrome, 256 Grayscale, 24 bit color) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. | en_US |
| dc.description.peerreview | no | en_us |