Thesis Topic Details
Topic ID: |
278 | |
Title: |
Bioinformatics of the immune system | |
Supervisor: |
Bruno Gaeta | |
Research Area: |
Bioinformatics | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Andrew Collins | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
BINF BIOM | |
Group Suitable: |
Yes | |
Industrial: |
No | |
Pre-requisites: |
This project is best suited to students with experience with statistics and machine learning concepts such as Markov models, maximum likelihood etc. Knowledge of immunology useful but not essential. Some projects may also have a development focus and require excellent Java programming skills | |
Description: |
A number of projects are available in collaboration with A/Prof Andrew Collins, to study various aspects of antibody development. The focus is on the ongoing development of iHMMune-align, a program for identifying and aligning the germline genes that make up rearranged immunoglobulin sequences, and using this program to further our understanding of the mechanisms of antibody-mediated immunity Contact supervisor (bgaeta@cse.unsw.edu.au). This project will be a collaboration with the School of Biotechnology and Biomolecular Sciences |
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Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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