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We have started a project utilising whole genome sequencing of undiagnosed children living in WA to provide a definitive diagnosis. A major challenge here is that the role and functions of the inter-genic regions of our genome (the remaining 98%) are relatively poorly understood.
We are made up of hundreds of different cell types carrying out a diverse range of functions essential for organism survival. All the information required to specify the morphology, function and response to stimuli of these cells is encoded in identical copies of the genome. The process of gene regu
Current technologies to understand which genes are turned on or off only work on large amounts of biological samples. As a consequence all measurements we receive represent averages across multiple cell types present in the sample. The situation is comparable to studying the contents of a bowl of fr
The Kids Research Institute Australia congratulates Prof Gareth Baynam and Dr Timo Lassmann on their grant over three years from the McCusker Charitable Foundation.
Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence
Identifying the causal variant for diagnosis of genetic diseases is challenging when using next-generation sequencing approaches and variant prioritization tools can assist in this task. These tools provide in silico predictions of variant pathogenicity, however they are agnostic to the disease under study. We previously performed a disease-specific benchmark of 24 such tools to assess how they perform in different disease contexts.
To describe trends, age, and sex-specific patterns of population hospital admissions with a diagnosis of craniosynostosis (CS) in Australia. Population data for hospital separations (in-patient) from public and private hospitals (July 1996-June 2018) were obtained from the publicly available Australian Institute of Health and Welfare (AIHW) National Hospital Morbidity Database.
To describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.
While chemotherapy remains the first-line treatment for many cancers, it is still unclear what distinguishes responders from non-responders. Here, we characterize the chemotherapy-responsive tumor microenvironment in mice, using RNA sequencing on tumors before and after cyclophosphamide, and compare the gene expression profiles of responders with progressors.
SAMStat is an efficient program to extract quality control metrics from fastq and SAM/BAM files. A distinguishing feature is that it displays sequence composition, base quality composition and mapping error profiles split by mapping quality. This allows users to rapidly identify reasons for poor mapping including the presence of untrimmed adapters or poor sequencing quality at individual read positions.