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Pushing the boundaries of rare disease diagnostics with the help of the first Undiagnosed HackathonTimo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Computational Biology timo.lassmann@thekids.org.au
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An evaluation of GPT models for phenotype concept recognitionClinical 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.
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Study Protocol for a Stepped-Wedge Cluster (Nested) Randomized Controlled Trial of Antenatal Colostrum Expression (ACE) Instruction in First-Time Mothers: The ACE StudyAlthough many mothers initiate breastfeeding, supplementation with human-milk substitutes (formula) during the birth hospitalization is common and has been associated with early breastfeeding cessation. Colostrum hand expressed in the last few weeks before birth, known as antenatal colostrum expression (ACE), can be used instead of human-milk substitutes. However, evidence is lacking on the efficacy of ACE on breastfeeding outcomes and in non-diabetic mothers.
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The psychosocial impact of childhood dementia on children and their parents: a systematic reviewChildhood dementias are a group of rare and ultra-rare paediatric conditions clinically characterised by enduring global decline in central nervous system function, associated with a progressive loss of developmentally acquired skills, quality of life and shortened life expectancy. Traditional research, service development and advocacy efforts have been fragmented due to a focus on individual disorders, or groups classified by specific mechanisms or molecular pathogenesis.
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Personalised analytics for rare disease diagnosticsHere we focus on the problem of prioritising variants with respect to the observed disease phenotype
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A phenotype centric benchmark of variant prioritisation toolsWe hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.
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Timo LassmannFeilman Fellow; Head, Precision Health Research and Head, Computational Biology
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What’s in a name?In WA, 60,000 kids live with a rare disease, and of those about half do not have a diagnosis. At The Kids, researchers are leading the charge in developing a method to identify genetic variations, so that kids like Charlotte can get answers.
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SAMStat 2: quality control for next generation sequencing dataSAMStat 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.
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TagDust2: A generic method to extract reads from sequencing data.Arguably the most basic step in the analysis of next generation sequencing data (NGS) involves the extraction of mappable reads from the raw reads...