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Reference genotype and exome data from an Australian Aboriginal population for health-based research

This data set provides a useful reference point for genomic studies on Aboriginal Australians

The rare and undiagnosed diseases diagnostic service – application of massively parallel sequencing in a state-wide clinical service

The Rare and Undiagnosed Diseases Diagnostic Service refers to a genomic diagnostic platform operating within the Genetic Services of Western Australia

Functional annotation of the vlinc class of non-coding RNAs using systems biology approach

We show that vlincRNAs genes likely function in cis to activate nearby genes

Systematic chemical and molecular profiling of MLL-rearranged infant acute lymphoblastic leukemia reveals efficacy of romidepsin

Present a valuable resource for drug discovery and have identified ROM as a promising therapeutic for MLL-rearranged iALL

DeepCAGE Transcriptomics Reveal an Important Role of the Transcription Factor MAFB in the Lymphatic Endothelium

VEGFR-3 signaling plays a central role in lymphatic biology, both in the development of the lymphatic network during embryogenesis as well as in...

Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ERBB receptors in breast cancer cells

The analysis of CAGE (Cap Analysis of Gene Expression) time-courses has been applied to examine the dynamics of enhancer and promoter by sequentially...

CAGE-defined promoter regions of the genes implicated in Rett Syndrome

A comprehensive picture of the regulatory regions of the three genes involved in Rett Syndrome

Timo Lassmann

Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence

An evaluation of GPT models for phenotype concept recognition

Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field.

Gene editing and cardiac disease modelling for the interpretation of genetic variants of uncertain significance in congenital heart disease

Genomic sequencing in congenital heart disease (CHD) patients often discovers novel genetic variants, which are classified as variants of uncertain significance (VUS). Functional analysis of each VUS is required in specialised laboratories, to determine whether the VUS is disease causative or not, leading to lengthy diagnostic delays.