Author

Evan K Bolyen

Northern Arizona UniversityORCID 0000-0002-5362-6782Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

J. Gregory CaporasoiD· 3 shared Nicholas A. BokulichiD· 3 shared Matthew R. DilloniD· 2 shared Anthony SimardiD· 1 shared Benjamin D. KaehleriD· 1 shared Chloe HermaniD· 1 shared Christos Konstantinos MatzorosiD· 1 shared Colin WoodiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

J. Gregory CaporasoORCID

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3 papers

Recent·Most cited

MOSHPIT: accessible, reproducible metagenome data science on the QIIME 2 framework

Michał Ziemski, Liz Gehret, Anthony Simard, Santiago Castro Dau, Vinzent Risch, Doriela Grabocka, Christos Konstantinos Matzoros, Colin Wood, Paula Momo Cabrera, Rodrigo Hernández-Velázquez, Chloe Herman, Keegan Evans, Michael Scott Robeson, Evan K Bolyen, J. Gregory Caporaso, Nicholas A. Bokulich

MOSHPIT provides a reproducible metagenome analysis tool built on QIIME 2, integrating validated tools and interfaces for scalable and accessible data science.

bioRxiv · Jan 27, 2025 · PreprintBioinformatics

q2-sample-classifier: machine-learning tools for microbiome classification and regression

Nicholas A. Bokulich, Matthew R. Dillon, Evan K Bolyen, Benjamin D. Kaehler, Gavin A. Huttley, J. Gregory Caporaso

The paper benchmarks supervised learning methods for microbiome classification and regression, introducing a QIIME 2 plugin to apply these methods to microbiome data.

The Journal of Open Source Software · Oct 23, 2018Peer-reviewedBioinformatics

q2-longitudinal: a QIIME 2 plugin for longitudinal and paired-sample analyses of microbiome data

Nicholas A. Bokulich, Yilong Zhang, Matthew R. Dillon, Jai Ram Rideout, Evan K Bolyen, Huilin Li, Paul S. Albert, J. Gregory Caporaso

The paper introduces q2-longitudinal, a QIIME 2 plugin for analyzing longitudinal and paired microbiome data, offering methods like linear mixed effects models and volatility analysis.

bioRxiv · Nov 22, 2017 · PreprintBioinformatics