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:
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Past Student Reports
  Ziwei LI in s2, 2011
Development of methods for analysing next generation genome sequencing data
 

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