Author

B. Auch

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:metagenomics· 1

Frequent Co-Authors

K. B. Beckman· 2 shared A. C. Nelson· 1 shared A. D. Duca· 1 shared A. Deshpande· 1 shared A. L. Sarver· 1 shared A. R. Cunanan· 1 shared A. Saliou· 1 shared B. Curtin· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersCancer Biology

K. B. Beckman

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Author profile →

3 papers

Recent·Most cited

Variability and Bias in Microbiome Metagenomic Sequencing: an Interlaboratory Study Comparing Experimental Protocols

S. P. Forry, S. L. Servetas, J. G. Kralj, K. Soh, M. Hadjithomas, R. Cano, M. Carlin, M. G. de Amorim, B. Auch, M. G. Bakker, T. F. Bartelli, J. P. Bustamante, I. Cassol, M. Chalita, E. Dias-Neto, , S. A. Jackson

This study evaluates how different laboratory methods affect microbiome metagenomic sequencing results through an interlaboratory comparison of 44 labs analyzing shared reference samples.

bioRxiv · Apr 28, 2023Microbiology

Comparative analysis of genome-wide DNA methylation identifies patterns that associate with conserved transcriptional programs in osteosarcoma

L. J. Mills, M. Scott, P. Shah, A. R. Cunanan, A. Deshpande, B. Auch, B. Curtin, K. B. Beckman, L. G. Spector, A. L. Sarver, S. Subramanian, T. Richmond, J. F. Modiano

This study identifies DNA methylation patterns in human and canine osteosarcoma samples that correlate with conserved transcriptional programs and tumor states, not cell composition.

bioRxiv · Apr 29, 2020Cancer Biology

Analytical Validation of a COVID-19 qRT-PCR Detection Assay Using a 384-well Format and Three Extraction Methods

A. C. Nelson, B. Auch, M. Schomaker, D. M. Gohl, P. Grady, D. Johnson, R. Kincaid, K. E. Karnuth, J. Daniel, J. K. Fiege, E. J. Fay, T. Bold, R. A. Langlois, K. B. Beckman, S. Yohe

This study validates a qRT-PCR assay for SARS-CoV-2 detection using a 384-well format and three extraction methods, showing robust accuracy and sensitivity with commercial reagents.

bioRxiv · Apr 2, 2020 · PreprintPathology