Author

Jason M. Wood

California Institute of TechnologyORCID 0000-0002-0847-4695Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Kasthuri J. VenkateswaraniD· 2 shared Nitin Kumar SinghiD· 2 shared Afshin BeheshtiiD· 1 shared Brent PeytoniD· 1 shared Camilla UrbaniakiD· 1 shared Ceth W. ParkeriD· 1 shared Christopher E. MasoniD· 1 shared Daniel Krizanc· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersEcology

Kasthuri J. VenkateswaranORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

EcologybioRxivPreprintJun 18, 2026

Differential efficiency of sampling devices in the measurement of microbial diversity of Yellowstone National Park hot springs

Jason M. Wood, Scott W. Tighe, Camilla Urbaniak…·Kasthuri J. Venkateswaran

This study evaluates sampling devices for microbial diversity in Yellowstone hot springs, finding that filtration methods affect recovery of low-abundance taxa.

DOI 10.64898/2026.06.15.732322

metagenomicsexperimental assay

BioinformaticsMicrobiomePeer-reviewedAug 23, 2022

Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

Pedro Madrigal, Nitin Kumar Singh, Jason M. Wood…·Afshin Beheshti

The paper uses a deep learning model to identify antimicrobial resistance genes in ISS microbiome data, revealing resistance patterns in specific bacterial species.

48 citationstop 5%

metagenomicsdeep learning

BioinformaticsbioRxivPreprintFeb 10, 2020

Ecotype Simulation 2: An improved algorithm for efficiently demarcating microbial species from large sequence datasets

Jason M. Wood, Eric D. Becraft, Daniel Krizanc…·David M. Ward

Ecotype Simulation 2 improves the analysis of large sequence datasets to identify ecologically distinct microbial species more efficiently.

5 citations

whole-genome sequencingstatistical model