Abstract
dc:description.abstractThe increase in the volume of genomic data due to the decrease in the cost of whole genome sequencing techniques has opened up new avenues of research in the field of Bioinformatics, like comparative genomics and evolutionary dynamics. The fundamental task in these studies is to align the genome sequences accurately. Sequence alignment helps to identify regions of similarity between the sequences to establish their functional, evolutionary and structural relationship. The thesis investigates the performance of two sequence alignment programs LASTZ, a hash table based faster method and SSEARCH, a slower but more rigorous Smith-Waterman based approach, on whole genome sequences from primates and mammals. An exact genome alignment technique is used by breaking the entire genome into fragments and aligning these fragments with the reference genome using the Smith-Waterman based method. A comparison of the two methods reveals that the second approach performs better for genomes from closely related species.
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Bioinformatics - (M.S.)
- Discipline thesis:degree_discipline
- Computer Science
- Year
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ghosh, Nandini
- Contributors dc:contributor
-
- Usman W. Roshan
- Jason T. L. Wang
- Zhi Wei
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.njit.edu/theses/232
- OAI identifier oai:identifier
- oai:digitalcommons.njit.edu:theses-1231