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Research

Personalised analytics for rare disease diagnostics

Here we focus on the problem of prioritising variants with respect to the observed disease phenotype

Research

A phenotype centric benchmark of variant prioritisation tools

We hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.

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Timo Lassmann

Feilman Fellow; Head, Precision Health Research and Head, Computational Biology

Research

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...

Research

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

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Pushing the boundaries of rare disease diagnostics with the help of the first Undiagnosed Hackathon

Timo Lassmann BSc (Hons) MSc PhD Feilman Fellow; Head, Precision Health Research and Head, Computational Biology timo.lassmann@thekids.org.au

Research

Conserved temporal ordering of promoter activation implicates common mechanisms governing the immediate early response across cell types and stimuli

We obtain a set of 57 candidate immediate early genes possessing promoters that consistently drive a rapid but transient increase in expression over time

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Linking FANTOM5 CAGE peaks to annotations with CAGEscan

Here, we present the production and quality control of CAGEscan libraries from 56 FANTOM5 RNA sources

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

Identified romidepsin as a promising therapeutic for mixed lineage leukemia (MLL)-rearranged infant acute lymphoblastic leukemia

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Application of Gene Expression Trajectories Initiated from ErbB Receptor Activation Highlights the Dynamics of Divergent Promoter Usage

This study helps us understand how cancer cells are regulated by key genes and their corresponding networks to alter their fate in response to specific...