Author

Philip J. Schmidt

University of WaterlooORCID 0000-0001-7332-6827Unclaimed 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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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:statistical model· 2

Frequent Co-Authors

Ellen S. CameroniD· 2 shared Kirsten M. MülleriD· 2 shared Monica B. EmelkoiD· 2 shared Benjamin J.-M. TremblayiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Ellen S. CameronORCID

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2 papers

Recent·Most cited

BioinformaticsFrontiers in MicrobiologyPeer-reviewedMar 1, 2022

Ensuring that fundamentals of quantitative microbiology are reflected in microbial diversity analyses based on next-generation sequencing

Philip J. Schmidt, Ellen S. Cameron, Kirsten M. Müller, Monica B. Emelko

The paper applies statistical methods from quantitative microbiology to improve diversity analysis of amplicon sequencing data by addressing random error and model limitations.

12 citations

metagenomicsstatistical model

𝕏 PostBluesky

BioinformaticsScientific ReportsPeer-reviewedNov 16, 2021

To rarefy or not to rarefy: Enhancing diversity analysis of microbial communities through next-generation sequencing and rarefying repeatedly

Ellen S. Cameron, Philip J. Schmidt, Benjamin J.-M. Tremblay…·Kirsten M. Müller

The paper evaluates the use of repeated rarefying to normalize amplicon sequencing data for microbial community diversity analysis, showing its utility in representing sequence proportions and characterizing rarefaction effects.

205 citationstop 1%

metagenomicsstatistical model

𝕏 PostBluesky