Nathan Ahlgren

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Assistant Professor

Clark University

United States

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Recent Grants

Grant: Close

Collaborative research: Characterization of Synechococcus-cyanophage interactions across phylogenetic and temporal scales

Open Date: 2020-12-01

Close Date: 2023-11-30

Grant: Close

Computational Studies of Virus-host Interactions Using Metagenomics Data and Applications

Open Date: 2017-04-15

Close Date: 2021-03-31

Articles (12)

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2023

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2023

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2023

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2020

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2020

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2020

Collaborators (9)

Matthias Hess

University of California, Davis

UNITED STATES

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P. J. Bergmann

UNITED STATES

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Jennifer M. Bhatnagar

UNITED STATES

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Antonio Camargo

DOE Joint Genome Institute

UNITED STATES

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Jed Fuhrman

Professor

University of Southern California

UNITED STATES

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Anne W. Thompson

UNITED STATES

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Georgios Pavlopoulos

Director of Research (Bioinformatics Research Professor)

Biomedical Sciences Research Center Alexander Fleming

GREECE

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Christos Ouzounis

Professor

Aristotle University of Thessaloniki

GREECE

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Jeffrey Blanchard

Associate Professor

University of Massachusetts Amherst

UNITED STATES

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Nathan Ahlgren

Research Interests

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Recent Grants

Articles (12)

Diverse Marine T4-like Cyanophage Communities Are Primarily Comprised of Low-Abundance Species Including Species with Distinct Seasonal, Persistent, Occasional, or Sporadic Dynamics

Unraveling the functional dark matter through global metagenomics.

New tRNA-targeting transposons that hijack phage and vesicles

County-level societal predictors of COVID-19 cases and deaths changed through time in the United States: A longitudinal ecological study

Genome Sequence of the Estuarine <i>Synechococcus</i> sp. Strain NB0720_010

Multiple measures of structural racism as predictors of U.S. county-level COVID-19 cases and deaths

Niche partitioning of low‐light adapted Prochlorococcus subecotypes across oceanographic gradients of the North Pacific Subtropical Front

Genome Sequences of Synechococcus sp. Strain MIT S9220 and Cocultured Cyanophage SynMITS9220M01

Genome sequences of synechococcus sp. Strain MIT S9220 and cocultured cyanophage SynMITS9220M01

A network-based integrated framework for predicting virus–prokaryote interactions

Genomic mosaicism underlies the adaptation of marine Synechococcus ecotypes to distinct oceanic iron niches

Identifying viruses from metagenomic data using deep learning

Collaborators (9)

Matthias Hess

P. J. Bergmann

Jennifer M. Bhatnagar

Antonio Camargo

Jed Fuhrman

Anne W. Thompson

Georgios Pavlopoulos

Christos Ouzounis

Jeffrey Blanchard

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