Author

E. Seabolt

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Agarwal· 2 shared J. Kaufman· 2 shared K. L. Beck· 2 shared L. PARIDA· 2 shared N. Haiminen· 2 shared A. Evans· 1 shared A. G. Kent· 1 shared A. L. Halpin· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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2 shared papersMicrobiology

A. Agarwal

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Commensal or pathogen: computational vectorizing microbial genomes for de novo risk assessment and virulence feature discovery in Klebsiella pneumoniae

K. L. Beck, A. Agarwal, A. L. Halpin, L. C. McDonald, S. L. McKay, A. G. Kent, J. H. Kaufman, V. Mukherjee, C. A. Elkins, E. Seabolt

This paper predicts virulence in Klebsiella pneumoniae using expanded gene function discoveries and machine learning, achieving higher accuracy than traditional methods.

bioRxiv · May 13, 2024 · PreprintMicrobiology

AutoXAI4Omics: an Automated Explainable AI tool for Omics and tabular data

J. Strudwick, L.-J. Gardiner, K. Denning-James, N. Haiminen, A. Evans, J. Kelly, M. Madgwick, F. Utro, E. Seabolt, C. Gibson, B. Bedi, D. Clayton, C. Howell, L. PARIDA, A. P. Carrieri

AutoXAI4Omics automates and explains ML pipelines for omics and tabular data, enabling interpretable insights for biomarker discovery and phenotype prediction.

bioRxiv · Mar 25, 2024 · PreprintBioinformatics

Monitoring the microbiome for food safety and quality using deep shotgun sequencing

K. L. Beck, N. Haiminen, D. Chambliss, S. B. Edlund, M. Kunitomi, B. C. Huang, N. Kong, B. Ganesan, R. Baker, P. Markwell, B. Kawas, M. Davis, R. J. Prill, H. Krishnareddy, E. Seabolt, , Consortium for Sequencing the Food Supply Chain

The paper uses deep shotgun sequencing to analyze food microbiomes, identifying microbial genera and observing shifts related to ingredient composition, but finds limited correlation between RNA sequencing and Salmonella growth.

bioRxiv · May 18, 2020Microbiology

Integrative and Conjugative Elements (ICE) and Associated Cargo Genes within and across Hundreds of Bacterial Genera

J. Kaufman, I. Terrizzano, G. Nayar, E. Seabolt, A. Agarwal, I. B. Slizovskiy, N. Noyes

The paper analyzes ICE and associated cargo genes across 200,000 bacterial genomes, finding ICE genomes are common and linked to AMR gene spread and phenotypic resistance.

bioRxiv · Apr 7, 2020 · PreprintMicrobiology