Abstract
Nucleic acid sequence based amplification (NASBA) is a primer based isothermal method of RNA/DNA amplification. Currently, primer design for NASBA has been restricted to hand creating sequences of oligonucleotides that must follow a set of rules to be compatible for the amplification process. This process of hand-creating primers is prone to error and time intensive. The detection of mutants, post amplification, also offers a benefit in point of care scenarios and the design of hybridization probes for sequences in the region of amplification is also an erroneous and time intensive process. By creating a program to design primers and hybridization probes based on the set of rules provided for a sequence of user input DNA or RNA, one can avoid costly errors in primers design and save time. Utilizing Python (a high-level object-oriented programming language), along with a series of bioinformatic libraries such as Biopython and UNAfold one can definitively choose the best primer sequences for a given sample of DNA.
Thesis Completion
2020
Semester
Spring
Thesis Chair/Advisor
Gerasimova, Yulia
Degree
Bachelor of Science (B.S.)
College
College of Sciences
Department
Chemistry
Degree Program
Biochemistry
Language
English
Access Status
Open Access
Release Date
5-1-2020
Recommended Citation
Karnati, Rohit, "Development of a Computer Algorithm for Generation of Primers for Nucleic Acid Sequence Based Amplification (NASBA)" (2020). Honors Undergraduate Theses. 723.
https://stars.library.ucf.edu/honorstheses/723