Author

Diana M. Proctor

National Institutes of HealthORCID 0000-0002-7078-0669Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1

Frequent Co-Authors

David A. RelmaniD· 2 shared Aashish R. JhaiD· 1 shared Ahmed A. ShibliD· 1 shared Benjamin J. CallahaniD· 1 shared Dinesh BhandariiD· 1 shared Emily DavenportiD· 1 shared Erica P. RyuiD· 1 shared Guru Prasad Gautam· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersMicrobiology

David A. RelmanORCID

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2 papers

Recent·Most cited

MicrobiologyMicrobiomePeer-reviewedNov 4, 2024

Nepali oral microbiomes reflect a gradient of lifestyles from traditional to industrialized

Erica P. Ryu, Yoshina Gautam, Diana M. Proctor…·Emily Davenport

This study examines oral microbiomes of Nepali individuals with different lifestyles, finding that lifestyle, not geography, shapes microbiome composition across a gradient from foraging to industrialized.

12 citations

humanmetagenomics

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BioinformaticsMicrobiomePeer-reviewedDec 1, 2018

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Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Nicole M. Davis, Diana M. Proctor, Susan Holmes…·Benjamin J. Callahan

decontam, an R package, classifies contaminant sequences in marker-gene and metagenomic data by their inverse frequency-DNA concentration relationship and higher prevalence in negative controls.

3,494 citationstop 1%

humanbacteria (other)

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