Computational methods for the analysis of next generation sequence data in human disease

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/1003856

Funding Status
Closed

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Funded Activity Summary

Modern DNA sequencing technologies generate data at an unprecedented rate, providing the opportunity to develop deep insights into human disease. We can now sequence a tumour genome in a matter of weeks, or assay epigenetic marks in the malaria parasite genome, but these data raise new analysis challenges requiring new statistical and computational methods to solve. This fellowship will support the development of such new methods and will contribute to basic discoveries in human disease.

Funded Activity Details

Start Date: 01-01-2011

End Date: 01-01-2014

Funding Scheme: Career Development Fellowships

Funding Amount: $401,361.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Gene Expression (incl. Microarray and other genome-wide approaches)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

Plasmodium falciparum | bioinformatics | cancer | genomics | malaria | sequence analysis

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