Author

Dan Tulpan

University of GuelphORCID 0000-0003-1100-646XUnclaimed 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· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Christopher A. HempeliD· 1 shared Dirk SteinkeiD· 1 shared Dominik BuchneriD· 1 shared Florian LeeseiD· 1 shared Leoni MackiD· 1 shared Marie V. BrasseuriD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenomics

Christopher A. HempelORCID

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1 paper

Recent·Most cited

GenomicsFrontiers in MicrobiologyPeer-reviewedNov 24, 2023

Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data

Christopher A. Hempel, Dominik Buchner, Leoni Mack…·Dirk Steinke

This study compares amplicon sequencing, metagenomics, and total RNA sequencing for predicting environmental stressors using machine learning, finding 16S sequencing outperforms others despite moderate performance.

13 citations

metagenomicslong-read sequencing

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