Author

Timothy J. Peters

Garvan Institute of Medical ResearchORCID 0000-0003-3690-5293Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Alice SteeliD· 1 shared Allegra AngeloniiD· 1 shared Andre L. M. ReisiD· 1 shared Andrew D. SmithiD· 1 shared Anthony LauiD· 1 shared Elissa K. DeenickiD· 1 shared Eugene Haydn WaltersiD· 1 shared Hasindu GamaarachchiiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperDevelopmental Biology

Alice SteelORCID

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3 papers

Recent·Most cited

Developmental BiologyNature CommunicationsPeer-reviewedJun 15, 2026

DNA methylation reprogramming in marsupial embryos is restricted to the extraembryonic lineage

Allegra Angeloni, J. W. Hammond, Timothy J. Peters…·Ksenia Skvortsova

The paper examines DNA methylation dynamics in marsupial embryos, finding global demethylation in the trophectoderm but not the embryonic lineage, suggesting 5mC erasure in extraembryonic tissue is ancestral in therian mammals.

3 citationstop 5%

mouseDNA methylation

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ImmunologyImmunology and Cell BiologyPeer-reviewedSep 14, 2025

Both T and B cells contribute to dysregulated activation and differentiation of CD4+ T cells in Activated PI3K delta syndrome 1

Julia Bier, Anthony Lau, Katherine Jackson…·Elissa K. Deenick

This study investigates the role of PI3K GOF in APDS1, showing that T and B cells contribute to dysregulated T cell activation and differentiation through extrinsic mechanisms.

1 citation

mouseexperimental assay

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Bioinformaticsnpj Systems Biology and ApplicationsPeer-reviewedJul 16, 2020

Temporal ordering of omics and multiomic events inferred from time series data

Sandeep Kaur, Timothy J. Peters, Pengyi Yang…·Sean I O’Donoghue

The paper introduces a method to infer temporal ordering of omics events from time series data with higher resolution than the experiment, using event maps and sparklines for visualization.

17 citations

statistical model

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