Algorithmic advances towards a fully automated DNA genotyping system
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28438 |
| _version_ | 1826200589385596928 |
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| author | Liu, Manway Michael, 1980- |
| author2 | Dan Ehrlich. |
| author_facet | Dan Ehrlich. Liu, Manway Michael, 1980- |
| author_sort | Liu, Manway Michael, 1980- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T11:38:44Z |
| format | Thesis |
| id | mit-1721.1/28438 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:38:44Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284382019-04-11T09:22:36Z Algorithmic advances towards a fully automated DNA genotyping system Liu, Manway Michael, 1980- Dan Ehrlich. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (leaves 46-47). Short Tandem Repeats (STR) genotyping is a leading tool in forensic DNA analysis. In STR genotyping, alleles in a sample are identified by measuring their lengths to form a genetic profile. Forming a genetic profile is time-consuming and labor-intensive. As the technology matures, increasing demand for improved throughput and efficiency is fueling development of automated forensic DNA analysis systems. This thesis describes two algorithmic advances towards implementing such a system. In particular, the algorithms address motif-matching and pattern recognition issues that arise in processing a genetic profile. The algorithms were initially written in MATLAB and later converted into C++ for incorporation into a prototype, automated system. by Manway Michael Liu. M.Eng. 2005-09-26T20:27:55Z 2005-09-26T20:27:55Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28438 57003244 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 47 leaves 2052335 bytes 2055723 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Liu, Manway Michael, 1980- Algorithmic advances towards a fully automated DNA genotyping system |
| title | Algorithmic advances towards a fully automated DNA genotyping system |
| title_full | Algorithmic advances towards a fully automated DNA genotyping system |
| title_fullStr | Algorithmic advances towards a fully automated DNA genotyping system |
| title_full_unstemmed | Algorithmic advances towards a fully automated DNA genotyping system |
| title_short | Algorithmic advances towards a fully automated DNA genotyping system |
| title_sort | algorithmic advances towards a fully automated dna genotyping system |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28438 |
| work_keys_str_mv | AT liumanwaymichael1980 algorithmicadvancestowardsafullyautomateddnagenotypingsystem |