Thesis Topic Details
Topic ID: |
3201 | |
Title: |
Development of methods for analysing next generation genome sequencing data | |
Supervisor: |
Ruiting Lan | |
Research Area: |
Bioinformatics, Genome informatics | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Mark Tanaka | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
BINF | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
Next generation sequencing technologies such as 454 and Illumina sequencing generates large amount of genome sequencing data which has presented major challenges of how to analyse the data. In this project, we will develop methods for streamlining data management and genome analysis, with particular interest on multiple genome comparisons. Illumina sequencing data from multiple strains of Salmonella generated from our own lab will be used as testing dataset. The bioinformatics honours student will join a research team consisting of postdoctoral fellow and doctoral students working on bacterial genome evolution. | |
Comments: |
-- | |
| Past Student Reports | ||
| Ziwei LI in s2, 2011 Development of methods for analysing next generation genome sequencing data |
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