Author

Zachary J. Oppler

University of PennsylvaniaORCID 0000-0003-4106-2243Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Dustin BrissoniD· 1 shared Jane A. YuiD· 1 shared Matthew W. MitchelliD· 1 shared Yun S. SongiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperGenomics

Dustin BrissonORCID

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1 paper

Recent·Most cited

GenomicsbioRxivPreprintApr 27, 2022

A fast machine-learning-guided primer design pipeline for selective whole genome amplification

Jane A. Yu, Zachary J. Oppler, Matthew W. Mitchell…·Dustin Brisson

The paper introduces swga2.0, a machine-learning-guided pipeline for designing selective whole genome amplification primers, significantly reducing runtime and improving amplification performance for microbial DNA.

3 citations

bacteria (other)whole-genome sequencing

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