Novel Bioinformatics Methods For Prioritizing Disease-causing INDELs
Funder
National Health and Medical Research Council
Funding Amount
$351,664.00
Summary
This project will build a bioinformatics diagnostic tool for the detection of small insertions and deletions (INDELs) in the human genome, which are the second most abundant class of human genetic variations. INDELs are implicated in many human diseases. Thus, the assessment of INDELs is critical for understanding disease etiology, disease susceptibility, and for interpreting personal genome sequencing data. The goal is to improve disease diagnosis and prevention.
Statistical Methods For Identifying Structural Variation In Tumour Genomes Using Next Generation Sequencing
Funder
National Health and Medical Research Council
Funding Amount
$243,458.00
Summary
New DNA sequencing technology can sequence a tumour genome affordably in 2 weeks. This re-sequencing data can be used to find small mutations and large-scale chromosomal rearrangements that together are the drivers of cancer. These may one day be used to guide cancer therapy. This project will develop new algorithms for finding mutations and apply these to discover the genetic basis of drug resistance in a model lymphoma system.