Sequence matching on holographicaly stored genetic strings.
| dc.contributor.committeeChair | Gale, Richard O. | |
| dc.contributor.committeeMember | Sari-Sarraf, Hamed | |
| dc.contributor.committeeMember | Watson, Richard | |
| dc.creator | Merkling, Joseph Legarde | |
| dc.date.accessioned | 2016-11-14T23:23:23Z | |
| dc.date.available | 2011-02-18T21:39:19Z | |
| dc.date.available | 2016-11-14T23:23:23Z | |
| dc.date.issued | 2005-12 | |
| dc.degree.department | Electrical and Computer Engineering | en_US |
| dc.description.abstract | In the field of computational biology one of the basic tasks is string matching. This provides the basis for both the sequencing and assembly of chromosomes but also the alignment of homologues strings in order to determine evolutionary and functional relationships. Over the last fifteen years the amount of data available has grown exponentially, but the ability to analyze this data has not kept pace. This paper examines the feasibility of leveraging the power of holographic storage and optical data processing to handle the data flood. The focus of the discussion is on algorithmic and data formatting issues. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/2346/16649 | en_US |
| dc.language.iso | eng | |
| dc.publisher | Texas Tech University | en_US |
| dc.rights.availability | Unrestricted. | |
| dc.subject | NP complete | en_US |
| dc.subject | One dimensional fourier transform | en_US |
| dc.title | Sequence matching on holographicaly stored genetic strings. | |
| dc.type | Thesis |