Thesis Topic Details
Topic ID: |
3329 | |
Title: |
Use of next generation sequencing to analyse genome evolution in infectious and genetic diseases | |
Supervisor: |
Fabio Luciani | |
Research Area: |
Bioinformatics, Formal Methods, Computing | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Bruno Gaeta | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
BINF | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
This is a component of a large research project that involves international collaborations with the goal to improve current bioinformatics methods to study the evolution of genomes over time in a variety of diseases. IN particular, we focus on infectious diseases and we recently started to work on cancer. Interested students should contact Dr Luciani (luciani@unsw.edu.au) and they will be informed with an up-to-date condition of this innovative project which changes and improves over time. |
|
Comments: |
Best suited for PhD students | |
| 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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