Abstract
dc:description.abstractThe goal of this project is to identify untranslated regions (UTRs) and UTR-indicating patterns in the genome of T. brucei. T. brucei is an interesting organism, and as the cause of African sleeping sickness -- which infects 300,000-500,000 people and a significant number of cattle annually -- is currently the subject of considerable research. Using existing algorithms, several patterns have been found that may lead to more complete UTR annotations in the T. brucei genome. The most encouraging sequence is the 11-base sequence GAGGGIICG]TGGGG, which appears in five hypothetical genes near the tail. Discovery of several such sequences could guide laboratory experimentation toward more useful results and a better allocation of time and resources.
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Computational Biology - (M.S.)
- Discipline thesis:degree_discipline
- Computer Science
- Year
- 2008
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Bucci, Brett
- Contributors dc:contributor
-
- Jason T. L. Wang
- Andrew Sohn
- Dimitri Theodoratos
Subjects
dc:subject × 5Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.njit.edu/theses/323
- OAI identifier oai:identifier
- oai:digitalcommons.njit.edu:theses-1322