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Tommy Kaplan

Professor of Computational Biology

Queen Mary University of London

United Kingdom

Research Interests

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Articles (20)

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2026

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2024

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2023

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2023

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2023

Collaborators (18)

Hans A Kestler

Ulm University

GERMANY

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Alarice Cheng‐Yi Lowe

UNITED STATES

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Sarah Østrup Jensen

DVIP-external, Researcher

Aarhus University

DENMARK

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Markus Grompe

Professor

Oregon Health & Science University

UNITED STATES

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Heng-Hong Li

Associate Professor

Georgetown University Medical Center

UNITED STATES

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Brenda A. Wilson

Professor

University of Illinois at Urbana-Champaign

UNITED STATES

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Konstantin Riege

Leibniz Institute on Aging – Fritz Lipmann Institute

GERMANY

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Florian Markowetz

Professor at University of Cambridge

University of Cambridge

GLOBAL

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Omer Or

ISRAEL

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Zhao Cheng

Research associate

University of Cambridge

UNITED KINGDOM

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Michel M. van den Heuvel

Head of Department

Universitair Medisch Centrum Utrecht

NETHERLANDS

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Amit Roshan

Clinical Senior Lecturer

Queen Mary University of London

UNITED KINGDOM

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Frank McCaughan

University of Cambridge

UNITED KINGDOM

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Wei Gu

Assistant Professor

Stanford University

UNITED STATES

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Marcel Schmidt

Research Assistant Professor

Georgetown University

UNITED STATES

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Anna Riegel

Professor

Georgetown University Medical Center

UNITED STATES

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Matthew Eldridge

Head of Computational Biology

University of Cambridge

UNITED KINGDOM

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Otto Hannes Vogel

Professor of Pathology and Associate Chair for Neuropathology

Stanford University School of Medicine

UNITED STATES

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Tommy Kaplan

Research Interests

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Articles (20)

Enriched methylomes of low-input and fragmented DNA using fragment ligation EXclusive methylation sequencing.

A scalable deep-learning framework for cancer detection using cell-free DNA shallow whole-genome sequencing

Enhancing the performance and interpretability of epigenetic clocks

The genetic basis for DNA methylation variation across tissues and development

wgbstools: a computational suite for DNA methylation sequencing data analysis

H3K27me3 epigenetic mark crucial for Arabidopsis callus cellular identity and regeneration capacity

A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data

Epigenetic liquid biopsies reveal endothelial turnover and erythropoiesis in asymptomatic COVID-19

Genetic/epigenetic DNA markers for linking suspects and tissues in complex crime scenes

Time is encoded by methylation changes at clustered CpG sites

Determining time since deposition of latent fingerprints on forensic adhesive tape using ultrafast DESI-MS and machine learning

Atlas of imprinted and allele-specific DNA methylation in the human body

Identification of novel toxins associated with the extracellular contractile injection system using machine learning

Particle uptake in cancer cells can predict malignancy and drug resistance using machine learning

DNA Methylation-Based Assessment of Cell Composition in Human Pancreas and Islets.

Toxinome—the bacterial protein toxin database

A DNA methylation atlas of normal human cell types.

Circulating cell-free methylated DNA reveals tissue-specific, cellular damage from radiation treatment

Accurate age prediction from blood using a small set of DNA methylation sites and a cohort-based machine learning algorithm

Elevated cfDNA after exercise is derived primarily from mature polymorphonuclear neutrophils, with a minor contribution of cardiomyocytes

Collaborators (18)

Hans A Kestler

Alarice Cheng‐Yi Lowe

Sarah Østrup Jensen

Markus Grompe

Heng-Hong Li

Brenda A. Wilson

Konstantin Riege

Florian Markowetz

Omer Or

Zhao Cheng

Michel M. van den Heuvel

Amit Roshan

Frank McCaughan

Wei Gu

Marcel Schmidt

Anna Riegel

Matthew Eldridge

Otto Hannes Vogel

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