Author

Michelle L. Treiber

Agricultural Research ServiceORCID 0000-0001-7850-0716Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Danielle G. LemayiD· 2 shared David Andrew MillsiD· 2 shared Ian F. KorfiD· 2 shared Diana Hazard TaftiD· 1 shared Samuel T. WestreichiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Danielle G. LemayORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedFeb 24, 2020

Pre- and post-sequencing recommendations for functional annotation of human fecal metagenomes

Michelle L. Treiber, Diana Hazard Taft, Ian F. Korf…·Danielle G. Lemay

The paper evaluates how sequencing parameters affect gene detection in human fecal metagenomes using DIAMOND, finding that read length, e-value thresholds, and custom databases improve detection accuracy.

28 citations

humanmetagenomics

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BioinformaticsBMC BioinformaticsPeer-reviewedMay 21, 2018

SAMSA2: A standalone metatranscriptome analysis pipeline

Samuel T. Westreich, Michelle L. Treiber, David Andrew Mills…·Danielle G. Lemay

SAMSA2 is a metatranscriptome analysis pipeline designed for supercomputing clusters, offering faster and more flexible analysis of large RNA-seq datasets.

162 citationstop 3%

metagenomicsstatistical model

𝕏 PostBluesky