Author

Angela T. Minard-Smith

BattelleORCID 0000-0003-4331-3202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Lindsay A. CatliniD· 2 shared Rachel R. SpurbeckiD· 2 shared Anthony Smith· 1 shared Bryan T. GemleriD· 1 shared Carrie A. HowlandiD· 1 shared Chiranjit MukherjeeiD· 1 shared Craig M. BartlingiD· 1 shared Kristy Montoya Albrecht· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Lindsay A. CatlinORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

UltraSEQ: a universal bioinformatic platform for information-based clinical metagenomics and beyond

Bryan T. Gemler, Chiranjit Mukherjee, Carrie A. Howland, Patrick A. Fullerton, Rachel R. Spurbeck, Lindsay A. Catlin, Anthony Smith, Angela T. Minard-Smith, Craig M. Bartling

UltraSEQ is a clinical metagenomics platform that accurately detects pathogens and antibiotic resistance from diverse sequencing data without requiring specialized configuration.

Microbiology Spectrum · Apr 11, 2023Peer-reviewedBioinformatics

Whole genome 6-methyladenosine sequencing (6-mA-Seq) enables bacterial epigenomics studies.

Rachel R. Spurbeck, Angela T. Minard-Smith, Lindsay A. Catlin, Robert W. Murdoch, Richard M. Chou, Kristy Montoya Albrecht

This paper introduces 6mA-seq, a method for studying bacterial methylation patterns at GATC sites, and demonstrates its application in E. coli under different carbon sources.

bioRxiv · Feb 8, 2021 · PreprintGenomics