Author

David S. Campo

Centers for Disease Control and PreventionORCID 0000-0002-8970-3436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Pavel SkumsiD· 2 shared Yury E Khudyakov· 2 shared Alex ZelikovskyiD· 1 shared J. Walker GussleriD· 1 shared Seth SimsiD· 1 shared Viachaslau TsyvinaiD· 1 shared Zoya Dimitrova· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Pavel SkumsORCID

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2 papers

Recent·Most cited

Primary case inference in viral outbreaks through analysis of intra-host variant population

J. Walker Gussler, David S. Campo, Zoya Dimitrova, Pavel Skums, Yury E Khudyakov

This paper introduces PYCIVO, a framework to identify primary cases in viral outbreaks by analyzing intra-host viral variant populations, achieving 100% accuracy in some scenarios.

BMC Bioinformatics · Feb 8, 2022Peer-reviewedBioinformatics

Fast estimation of genetic relatedness between members of heterogeneous populations of closely related genomic variants

Viachaslau Tsyvina, David S. Campo, Seth Sims, Alex Zelikovsky, Yury E Khudyakov, Pavel Skums

The paper presents a fast and scalable k-mer-based framework for efficiently extracting genetically similar sequences from large NGS datasets, targeting heterogeneous populations like viruses.

BMC Bioinformatics · Oct 1, 2018Peer-reviewedBioinformatics