Author

John M. Davis

Mayo ClinicORCID 0000-0002-9710-8143Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

John M. Davis1 paper

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 3 Organism:human· 3 Assay:metagenomics· 3 Approach:statistical model· 3 Research Focus:database / resource· 2 Research Focus:software / tool· 2 Research Focus:differential expression· 1

Frequent Co-Authors

Jaeyun SungiD· 3 shared Vinod Kumar GuptaiD· 3 shared Daniel ChangiD· 2 shared Heidi NelsoniD· 2 shared Kevin Y. CunninghamiD· 2 shared Utpal BakshiiD· 2 shared Aileen R. LeeiD· 1 shared Benjamin Hur· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Jaeyun SungORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Gut Microbiome Wellness Index 2 for Enhanced Health Status Prediction from Gut Microbiome Taxonomic Profiles

Daniel Chang, Vinod Kumar Gupta, Benjamin Hur, Sergio Cobo-López, Kevin Y. Cunningham, Nam Soo Han, Insuk Lee, Vanessa L. Kronzer, Levi M. Teigen, Lioudmila V. Karnatovskaia, Erin E. Longbrake, John M. Davis, Heidi Nelson, Jaeyun Sung

The paper introduces GMWI2, a gut microbiome health index that improves disease prediction accuracy compared to previous models and traditional diversity indices.

bioRxiv · Sep 30, 2023 · PreprintBioinformatics

TaxiBGC: a Taxonomy-guided Approach for Profiling Experimentally Characterized Microbial Biosynthetic Gene Clusters and Secondary Metabolite Production Potential in Metagenomes

Vinod Kumar Gupta, Utpal Bakshi, Daniel Chang, Aileen R. Lee, John M. Davis, Sriram Chandrasekaran, Yong‐Su Jin, Michael F. Freeman, Jaeyun Sung

TaxiBGC improves BGC prediction in metagenomes by using taxonomy-guided methods, showing better performance than read-based approaches and linking BGCs to human diseases.

mSystems · Nov 15, 2022Peer-reviewedBioinformatics

A Novel Index for Predicting Health Status Using Species-level Gut Microbiome Profiling

Vinod Kumar Gupta, Minsuk Kim, Utpal Bakshi, Kevin Y. Cunningham, John M. Davis, Konstantinos N. Lazaridis, Heidi Nelson, Nicholas Chia, Jaeyun Sung

The paper introduces a gut microbiome health index (GMHI) that predicts general health status using species-level profiling and validates its robustness across multiple datasets.

Nature Communications · Sep 15, 2020Peer-reviewedBioinformatics