The statistical analysis of nucleic acid sequences

Update Item Information
Publication Type honors thesis
School or College College of Science
Department Mathematics
Thesis Supervisor Simon Tavare
Honors Advisor/Mentor Don H. Tucker
Creator Giddings, Barton William
Title The statistical analysis of nucleic acid sequences
Date 1987-06
Year graduated 1987
Description In 1977, powerful DNA sequencing techniques were announced by Walter Gilbert and Frederick Sanger. The concurrent development of these two important DNA sequencing techniques has fostered the rapid accumulation of sequence data currently, there are almost ten million bases of information available for analysis. The rapid development of sequencing techniques required the development of computer programs capable of manipulating, analyzing, and comparing long sequences of data. The proliferation of such software is all too obvious: programs are now available which aid in planning cloning projects [3], predict secondary structure of tRNA and mRNA [4], determine whether a sequence is protein-coding or noncoding [5, 6], and search for such signals as promoters [6, 7].
Type Text
Publisher University of Utah
Subject Nucleotide sequence - Mathematical models
Language eng
Rights Management (c) Barton William Giddings
Format Medium application/pdf
ARK ark:/87278/s6d25zsq
Setname ir_htca
ID 1313654
Reference URL https://collections.lib.utah.edu/ark:/87278/s6d25zsq
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