Thesis Topic Details
Topic ID: |
1459 | |
Title: |
Bioinformatic analysis of pathway and regulatory networks of Shigella | |
Supervisor: |
Ruiting Lan | |
Research Area: |
Bioinformatics | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Mark Tanaka | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
BIOM BINF | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
Shigella is an enteric bacterial pathogen that causes shigellosis. Shigella has been classified as a genus with 4 species. Our studies have shown that Shigella strains have been evolved from an E. coli ancestor at least 7 times and therefore are in fact pathogenic E. coli. However Shigella strains are known to be biochemically inactive, that is, they are unable to utilize many sugars as food source. The loss of these abilities must have occurred independently in different lineages. Four shigella genomes from different lineages have now been sequenced. Through comparison of the four Shigella genomes and other E. coli genomes one can determine what metabolic pathways and regulatory networks that have been disrupted. A previous bioinformatics honours student has developed an approach to collate pseudogenes data. This project will build on that study and further develop methods and programs to collate and analyse pathway and regulatory network data. | |
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
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