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CSE Thesis Topic Details

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
Comments:
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