Thesis Topic Details
Topic ID: |
3241 | |
Title: |
Genomic analyses from next generation genome sequencing data | |
Supervisor: |
Ruiting Lan | |
Research Area: |
Genome informatics | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Mark Tanaka | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
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. However, the genome sequences obtained are incomplete which requires new approaches to detect genome rearrangement, recombination and other evolutionary signals. In this project, we will develop methods for genome analysis from next generation sequencing data. 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 | ||
| 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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