Michael Schatz

Bloomberg Distinguished Professor

Johns Hopkins University

United States

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About

Michael Schatz is a Bloomberg Distinguished Professor at Johns Hopkins University in the United States. His research focuses on genomics, particularly in areas such as nanopore DNA and RNA modification detection, long-read sequencing in cancer research, and crop engineering through pan-genetics. He aims to advance biodiversity genomics and improve genome assembly and data analysis methodologies, enhancing accessibility and reproducibility in genomic research.

Articles (19)

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2025

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2021

Collaborators (18)

Sebastian Soyk

Assistant Professor

University of Lausanne

SWITZERLAND

Michael Schatz

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Articles (19)

Unraveling the hidden complexity of cancer through long-read sequencing

Uncalled4 improves nanopore DNA and RNA modification detection via fast and accurate signal alignment

Solanum pan-genetics reveals paralogues as contingencies in crop engineering.

k-mer approaches for biodiversity genomics

Scalable, accessible and reproducible reference genome assembly and evaluation in Galaxy

ModDotPlot—rapid and interactive visualization of tandem repeats

Utility of long-read sequencing for All of Us

BEATRICE: Bayesian fine-mapping from summary data using deep variational inference

Establishing Physalis as a Solanaceae model system enables genetic reevaluation of the inflated calyx syndrome

National Human Genome Research Institute Genomic Data Science Analysis, Visualization, and Informatics Lab-Space: Reaching out to Clinicians

Jasmine and Iris: population-scale structural variant comparison and analysis

Approaching complete genomes, transcriptomes and epi-omes with accurate long-read sequencing

Long-Read Sequencing Reveals Rapid Evolution of Immunity- and Cancer-Related Genes in Bats

Complete Sequence of a 641-kb Insertion of Mitochondrial DNA in the Arabidopsis thaliana Nuclear Genome

Artificial Intelligence and Cardiovascular Genetics

Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space

High resolution copy number inference in cancer using short-molecule nanopore sequencing

Local adaptation and archaic introgression shape global diversity at human structural variant loci

Pan-genomic Matching Statistics for Targeted Nanopore Sequencing

Collaborators (18)

Sebastian Soyk

Casey Taylor

Giulio Formenti

Rajiv McCoy

Christopher I. Amos

Archana Venkataraman

Alison Klein

Ian Henderson

Shujun Ou

Adam Siepel

Haoyu Cheng

Brian O'Connor

Peter D Fields

Eric Venner

Daniel B Sloan

Daniel Becker

Björn Grüning

ALICE MARIA GIANI

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