Document Type
Thesis - University Access Only
Award Date
2007
Degree Name
Master of Science (MS)
Department / School
Mathematics and Statistics
Abstract
This bioinformatics research utilizes popular tools such as BLAST and the Needleman-Wunsch global alignment algorithm to identify the unknown genes obtained from wet lab research. What began as 314 raw DNA sequences became a set of 287 sequences where 95 represent previously identified sequences in Nicotiana tabacum, 87 represent genes previously identified in other plants, and the remaining 105 are unidentified and therefore novel. Software used during the course of this project include NCBI's implementation of BLAST and several applications from the European Molecular Biology Open Software Suite (EMBOSS), as well as five scripts written by the author.
Library of Congress Subject Headings
Bioinformatics
Nucleotide sequence -- Data processing
Genomics -- Data processing
Algorithms
BLAST (Electronic resource)
Format
application/pdf
Number of Pages
72
Publisher
South Dakota State University
Recommended Citation
Nichols, Erin, "Gene Discovery with NCBI and EMBOSS Tools" (2007). Electronic Theses and Dissertations. 1402.
https://openprairie.sdstate.edu/etd2/1402