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Showing results for "early lung health"

Australia's medical research community unites to champion the Medical Research Future Fund

Western Australia's three largest medical research institutes have joined other institutes across the nation in support of enhanced public investment in health

Rally for Research for a Healthy Future

Hundreds of researchers from Perth's The Kids for Child Health Research will join a rally in Forrest Place today

Traffic emission linked to low birthweight

New research from Perth's The Kids for Child Health Research has linked traffic emissions to reduced fetal growth.

$2 million boost to child development research

Researchers at Perth's The Kids for Child Health Research have been awarded a prestigious Australian Research Council linkage grant

Senior Manager of Research Development

Lead and manage the Research Development team to plan, coordinate and evaluate the Institute’s research funding.

Breaking new ground in Aboriginal genomics

Internationally-acclaimed Aboriginal researcher and clinician Professor Alex Brown will establish and lead a National Indigenous Genomics Consortium

Antibiotic consumption for sore throat and the potential effect of a vaccine against group A Streptococcus: a systematic review and modelling study

Antibiotic consumption can lead to antimicrobial resistance and microbiome imbalance. We sought to estimate global antibiotic consumption for sore throat, and the potential reduction in consumption due to effective vaccination against group A Streptococcus.

SAMStat 2: quality control for next generation sequencing data

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.

An expanded phenotype centric benchmark of variant prioritisation tools

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.

SampleExplorer: using language models to discover relevant transcriptome data

Over the last two decades, transcriptomics has become a standard technique in biomedical research. We now have large databases of RNA-seq data, accompanied by valuable metadata detailing scientific objectives and the experimental procedures used. The metadata is crucial in understanding and replicating published studies, but so far has been underutilized in helping researchers to discover existing datasets.