Author

Kyle Smith

University of California San DiegoORCID 0000-0002-0188-8289Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Kyle Smith4 papers · St. Jude Children's Research Hospital

Biology Disciplines

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Bioinformatics· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Organism:virus· 2 Assay:whole-genome sequencing· 2 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Yatish TurakhiaiD· 3 shared Cheng YeiD· 1 shared Harsh MotwaniiD· 1 shared Nick GoldmaniD· 1 shared Nicola De MaioiD· 1 shared Olivier AnoufaiD· 1 shared Russell B Corbett-DetigiD· 1 shared Sumit WaliaiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 17 mutual co-author links

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3 shared papersBioinformatics

Yatish TurakhiaORCID

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3 papers

Recent·Most cited

BioinformaticsNature GeneticsPeer-reviewedJan 12, 2026

Compressive Pangenomics Using Mutation-Annotated Networks

Sumit Walia, Harsh Motwani, Yu-Hsiang Tseng…·Yatish Turakhia

This paper introduces PanMAN, a compressed pangenome data structure that captures evolutionary and mutational histories, achieving significant compression and enabling more efficient pangenomic analysis.

11 citationstop 1%

statistical modeldatabase / resource

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Evolutionary BiologyMolecular Biology and EvolutionPeer-reviewedOct 23, 2025

Highly recurrent multi-nucleotide mutations in SARS-CoV-2

Nicola De Maio, Olivier Anoufa, Kyle Smith…·Nick Goldman

The paper identifies highly recurrent multi-nucleotide mutations in SARS-CoV-2 and shows they are linked to transcription regulatory sequences, affecting computational evolutionary biology analyses.

3 citations

viruswhole-genome sequencing

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BioinformaticsBioinformaticsPeer-reviewedAug 30, 2023

Tracking and curating putative SARS-CoV-2 recombinants with RIVET

Kyle Smith, Cheng Ye, Yatish Turakhia

RIVET identifies and tracks potential SARS-CoV-2 recombinants using advanced algorithms and provides a web interface for accelerated analysis.

12 citations

viruswhole-genome sequencing

𝕏 PostBluesky