Thesis Topic Details

Topic ID:
279
Title:
Integrated visualisation of gene networks and microarray data
Supervisor:
Bruno Gaeta
Research Area:
Bioinformatics, Web Applications, Software Engineering
Associated Staff
Assessor:
Mike Bain
Topic Details
Status:
Active
Type:
Development
Programs:
CS CE BIOM BINF SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
--
Description:
The goal of this project is to develop an integrated, web-based viewer that allows biologists to visualise the relationships predicted from microarray data together with other attributes of the genes, to evaluate predicted gene relationships and explore the microarray data. Several students have now worked on this application called MINER (Microarray Interactive Network Exploration and Representation) that integrates web technologies, microarray data mining and machine learning, integration of multiple biological annotation sources, and human-computer interaction principles.

Contact supervisor (bgaeta@cse.unsw.edu.au)
Comments:
In its current state, this project requires good web programming and database skills. Several students have worked on this project in previous years and their contributions need to be brought together into a working website that incorporates the various developments
Past Student Reports
  Nathania ASTRIA in s2, 2010
Integrated visualisation of gene networks and microarray data
 

Download report from the CSE Thesis Report Library

NOTE: only current CSE students can login to view and select reports to download.