Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Simulating recombinant sequence date to evaluate and improve computational methods of multiple sequence alignment and recombinant identification
Motivation. Recombination is a central evolutionary process that substantially changes the structure of genomes and shapes their evolutionary trajectory. Recombination detection is thus an important computational step in understanding the evolutionary history of nucleotide sequences, and the accurat...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Computational Biology Division
2024
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Simulating recombinant sequence date to evaluate and improve computational methods of multiple sequence alignment and recombinant identification
- Utilising machine learning techniques on simulated viral evolution datasets to improve viral recombinant identification
- Multiple sequence alignment using particle swarm optimization
- Development and Characterization of recombinant immunotoxins for cervical carcinoma
- Accelerating genomic sequence alignment using high performance reconfigurable computers
- Development Of Recombinant Immunotherapeutics for Triple-Negative Breast Cancer (TNBC)
- Establishment of enhanced protein purification strategies for recombinant immunotherapeutics