Author

Patrick Ford Combs

American Type Culture CollectionORCID 0000-0002-3247-7802Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Microbiology· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:machine learning (classical)· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Christopher E. MasoniD· 2 shared David DankoiD· 2 shared Dorottya Nagy‐SzakaliD· 2 shared Gábor Fidler· 2 shared Heather WellsiD· 2 shared John C Papciak· 2 shared Lorenzo Uccellini· 2 shared Mara Couto-RodrigueziD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

2 shared papersMicrobiology

Christopher E. MasonORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BIOTIA-DX RESISTANCE Achieved the Best Antimicrobial Resistance Phenotype Prediction Accuracy at CAMDA 2026

Gábor Fidler, Heather Wells, Patrick Ford Combs, John C Papciak, Mara Couto-Rodriguez, Sol Rey, Tiara Rivera, Lorenzo Uccellini, Christopher E. Mason, Niamh B. O’Hara, Dorottya Nagy‐Szakal, David Danko

The paper introduces BDXR, a method for antimicrobial resistance prediction, achieving high accuracy across six species-drug pairs in the CAMDA 2026 challenge.

bioRxiv · May 13, 2026 · PreprintMicrobiology

BIOTIA-DX RESISTANCE Achieved the Best Antimicrobial Resistance Phenotype Prediction Accuracy at CAMDA 2025

Gábor Fidler, Heather Wells, Patrick Ford Combs, John C Papciak, Mara Couto-Rodriguez, Sol Rey, Tiara Rivera, Lorenzo Uccellini, Christopher E. Mason, Niamh B. O’Hara, Dorottya Nagy‐Szakal, David Danko

The paper introduces BDXR, a tool for predicting antimicrobial resistance from whole genome sequencing, achieving high accuracy in the CAMDA 2025 challenge.

bioRxiv · Sep 24, 2025 · PreprintMicrobiology

Comparative Analysis and Data Provenance for 1,113 Bacterial Genome Assemblies

David A. Yarmosh, Juan G. Lopera, Nikhita P. Puthuveetil, Patrick Ford Combs, Amy L. Reese, Corina L. Tabron, Amanda E. Pierola, James Duncan, Samuel R. Greenfield, Robert Marlow, Stephen King, Marco A. Riojas, John Bagnoli, Briana Benton, Jonathan L. Jacobs

The paper compares 1,113 bacterial genome assemblies from authenticated sources with those in RefSeq, highlighting issues in metadata, traceability, and assembly quality.

mSphere · May 2, 2022Peer-reviewedGenomics