Discovery Early Career Researcher Award - Grant ID: DE170100759

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE170100759

Funding Status
Closed

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Funded Activity Summary

Trans-omic networks: A machine learning and omics integration approach. This project aims to map and model ‘trans-omic’ networks that cut through omic layers using machine learning and multi-omic data integration. Global networks regulated by molecular programs, including signalling, epigenetic, transcriptional and translational regulation, orchestrate cellular functions. Technological advances can profile these molecular programmes, giving rise to various ‘omics’. However, data generated from each omic layer are predominantly analysed separately owing to their heterogeneity. To understand cellular functions in its entirety, it is essential to interpret omic data across multiple omic layers. Applying this project’s methods is expected to improve use of omics data and fundamental molecular programs.

Funded Activity Details

Start Date: 30-06-2017

End Date: 29-06-2020

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $372,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Biochemistry and Cell Biology | Bioinformatics | Systems Biology

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Biochemistry and Cell Biology | Bioinformatics | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Systems Biology

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