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, Systems biology, Programming Languages
Associated Staff
Assessor:
Bruno Gaeta
Topic Details
Status:
Active
Type:
Research
Programs:
CS CE BIOM BINF SE
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
 
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