Author

ERIC V. SLUD

United States Census BureauORCID 0000-0002-0647-9193Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

M. S. Binoj KumariD· 2 shared Christine HehnlyiD· 1 shared Héctor Corrada BravoiD· 1 shared James Riley BroachiD· 1 shared Joseph Nathaniel PaulsoniD· 1 shared Kwame OkrahiD· 1 shared Lijun ZhangiD· 1 shared Rafael A. IrizarryiD· 1 shared

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2018-2022 · peak 1/yr

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10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

M. S. Binoj KumarORCID

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2 papers

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedAug 1, 2022

Differential richness inference for 16S rRNA marker gene surveys

M. S. Binoj Kumar, ERIC V. SLUD, Christine Hehnly…·Joseph Nathaniel Paulson

The paper introduces a method to infer differential richness in 16S rRNA surveys by accounting for spurious taxa generated during sequencing, using an R package called Prokounter.

8 citations

metagenomicsstatistical model

𝕏 PostBluesky

GenomicsBMC GenomicsPeer-reviewedNov 6, 2018

Analysis And Correction Of Compositional Bias In Sparse Sequencing Count Data

M. S. Binoj Kumar, ERIC V. SLUD, Kwame Okrah…·Héctor Corrada Bravo

The paper addresses compositional bias in sparse sequencing count data by proposing an empirical Bayes normalization approach and clarifying assumptions of existing scaling methods.

121 citations

metagenomicsstatistical model

𝕏 PostBluesky