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University of Nevada, Las Vegas

Do RNA-dependent polymerases share common ancestry? A bioinformatic approach

Abstract

dc:description.abstract

Bioinformatics is the use of computational methods to perform hypothesis-driven research that generates new knowledge from existing biological databases. For any bioinformatic analysis, it is important that the most accurate method(s) be used. The first portion of this thesis is a comparative evaluation of six programs designed for the local alignment of protein sequences. The results demonstrate that two of the programs, MEME and PROBE, outperform all other programs (BLOCKMAKER, ITERALIGN, MATCHBOX, and PIMA). The second portion of this thesis uses MEME and PROBE in an attempt to locate an ordered-series-of-motifs (OSM) among two groups of RNA-dependent polymerases, the large (L) protein from viruses in the order Mononegavirales and the reverse transcriptase (RT) protein from retroviruses and retroid agents. An OSM was not detected among the L and RT proteins, suggesting that they are not homologs. This result also supports the hypothesis that all RNA-dependent polymerases do not share common ancestry.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Biological Science
Grantor dc:publisher
University of Nevada, Las Vegas
Year
1999

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hudak, Julianna
Contributors dc:contributor
  • Marcella McClure

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
Language dc:language
English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:oasis.library.unlv.edu:rtds-2078

Chain of custody

source
Harvested from
University of Nevada - Las Vegas
Base URL
oasis.library.unlv.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Hudak, Julianna. Do RNA-dependent polymerases share common ancestry? A bioinformatic approach. Thesis thesis, University of Nevada, Las Vegas, 1999. https://doi.org/10.25669/vgki-soqa