Nuclear Receptors in Breast Cancer
QFAB is currently building one of the most comprehensive collections of protein interaction networks around Nuclear Receptors and their co-regulators to visualise and analyse gene expression data generated from primary breast tumours.
Researchers at QFAB are also applying computational inference methods to identify the regulatory networks of the nuclear receptors from publicly available gene expression datasets, identifying potential mechanisms of cross-talk between these transcription factors.
This project is being conducted in conjunction with Professor Mark Ragan, leader of the ARC Centre of Excellence in Bioinformatics and the Division of Genomics and Computational Biology of the Institute for Molecular Bioscience at the University of Queensland.
QFAB data integration specialists provide support for this effort by integrating large volumes of public data, including functional annotation, with internal project data, providing unified data resources for the NRBC project.
Omics Research Case Studies