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Research

Discovery of Transcription Factors Novel to Mouse Cerebellar Granule Cell Development Through Laser-Capture Microdissection

This study provides an initial insight into the TFs of cerebellar granule cells that might be important for development

Research

An integrated expression atlas of miRNAs and their promoters in human and mouse

We provided a broad atlas of miRNA expression and promoters in primary mammalian cells, establishing a foundation for detailed analysis of miRNA.

Research

Mapping mammalian cell-type-specific transcriptional regulatory networks using KD-CAGE and ChIP-seq data in the TC-YIK cell line.

Examining the overlap between genes perturbed in the KD-CAGE experiments and genes with a ChIP-seq peak within 50 kb of their promoter, we identified direct...

Research

Cellular and molecular changes to cortical neurons following low intensity repetitive magnetic stimulation at different frequencies

A systematic comparison of the cellular and molecular changes in neurons in vitro induced by low intensity magnetic stimulation at different frequencies.

Research

A phenotype centric benchmark of variant prioritisation tools

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

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

People

Timo Lassmann

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

Research

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

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.