Author

Kaitlin A. Tagg

Centers for Disease Control and PreventionORCID 0000-0001-5300-7984Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Microbiology· 2 Genomics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 4 Approach:statistical model· 4 Assay:whole-genome sequencing· 4 Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Approach:benchmark study· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Fernando de la CruziD· 3 shared Hattie E. WebbiD· 3 shared Arancha Peñil-CelisiD· 2 shared Arti KapiliD· 2 shared Assaf RokneyiD· 2 shared Ayorinde O. AfolayaniD· 2 shared Danielle J. IngleiD· 2 shared David A. RaskoiD· 2 shared

Activity by Year

2021-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 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

Fernando de la CruzORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

MicrobiologyGenome MedicinePeer-reviewedOct 24, 2025

✦ In-depth digest

Typhi Mykrobe: fast and accurate lineage identification and antimicrobial resistance genotyping directly from sequence reads for the typhoid fever agent Salmonella Typhi

Danielle J. Ingle, Jane Hawkey, Martin Hunt…·Kathryn E. Holt

Mykrobe k-mer panel genotypes Salmonella Typhi lineages, antimicrobial resistance (AMR) markers and plasmids from Illumina or nanopore reads, matching mapping-based lineage calls for 99.8% of genomes.

12 citationstop 5%

bacteria (other)human

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 20, 2025

Jaccard Index Network Analysis for pangenome analysis

Arancha Peñil-Celis, Santiago Redondo-Salvo, Kaitlin A. Tagg…·Fernando de la Cruz

JINA is a workflow that integrates existing tools to analyze bacterial genomes via a network approach, enabling visualization and identification of genomic patterns and associations.

DOI 10.1101/2025.08.20.669834

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

MicrobiologyGenome MedicinePeer-reviewedMay 9, 2025

The TyphiNET data visualisation dashboard: Unlocking Salmonella Typhi genomics data to support public health

Zoe A. Dyson, Louise Cerdeira, Vandana Sharma…·Jackie Wright

The paper introduces TyphiNET, a dashboard for exploring Typhi genomics data to support public health decisions on antimicrobial resistance and vaccine implementation.

13 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

GenomicsmSystemsPeer-reviewedJul 26, 2024

Harnessing the pangenome for genomic surveillance: Salmonella enterica serotype Typhi as a paradigm

Arancha Peñil-Celis, Kaitlin A. Tagg, Hattie E. Webb…·Fernando de la Cruz

The paper introduces a method to measure pangenome relatedness using Jaccard Index and a novel distance metric to capture both vertical and horizontal gene transfer in Salmonella Typhi, enhancing genomic surveillance.

11 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedJul 31, 2021

COPLA, a taxonomic classifier of plasmids

Santiago Redondo, Roger Bartomeus-Peñalver, Luis Vielva…·Fernando de la Cruz

COPLA assigns plasmids to existing PTUs and identifies potential new PTUs, with 41% of samples assigned and 4% suggesting new classifications.

117 citationstop 2%

statistical modeldatabase / resource

𝕏 PostBluesky