Evaluating the relationship between a generic-based filtering program and DNA sequences

Article


Oluwagbemi, O. and Omonhinmi, C. 2008. Evaluating the relationship between a generic-based filtering program and DNA sequences. Pacific Journal of Science and Technology. 9 (2), pp. 647-657.
TypeArticle
TitleEvaluating the relationship between a generic-based filtering program and DNA sequences
AuthorsOluwagbemi, O. and Omonhinmi, C.
Abstract

Generic programming depends on the decomposition of programs into simpler components which may be developed separately and combined arbitrarily, subject only to well-defined interfaces. Bioinformatics deals with the application of computational techniques to data present in the Biological sciences. A genetic sequence is a succession of letters which represents the basic structure of a hypothetical DNA molecule, with the capacity to carry information. This research article studied the relationship between the running times of a generic-based filtering program and different samples of genetic sequences in an increasing order of magnitude. A graphical result was obtained to adequately depict this relationship. It was also discovered that the complexity of the generic tree program was O (log 2 N). This research article provided one of the systematic approaches of generic programming to Bioinformatics, which could be instrumental in elucidating major discoveries in Bioinformatics, as regards efficient data management and analysis.

Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
JournalPacific Journal of Science and Technology
ISSN1551-7624
Publication dates
PrintNov 2008
Publication process dates
Accepted01 Aug 2008
Deposited19 Apr 2024
Output statusPublished
LanguageEnglish
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