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
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