Genome Data Mining

 

Functionality of genes is dependent on structure and so, to understand the purpose and composition of each gene, researchers must undertake the arduous task of mining the gene structure and sorting through vast genomic data sets.

However, innovative methods for collection, curation, visualisation, integration and mining are revolutionising the way in which genomic research is performed. Professor Webb, a partner to the Victorian Bioinformatics Consortium at Monash University, has developed novel data mining techniques to speed up this lengthy process.
 
By merging publicly available data with proprietary information, Professor Geoff Webb, microbiologist Professor Ross Coppel and their teams are widening the pool of information to which research groups have access, and consequently reducing the time spent replicating research efforts.
 
To manage this information and set of tools, VeRSI has developed a Web 2.0 workflow interface that automates this suite of data mining techniques and aids in the merging of genomic data. This project will deliver a major advantage to the Victorian biotechnology and biomedical research sectors.

For more information on this project, contact Jared Winton.