Author

Oscar Colin Stine

University of Maryland, BaltimoreORCID 0000-0003-3974-3752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Organism:bacteria (other)· 1 Approach:experimental assay· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Bertrand BearzattoiD· 1 shared Brady J. GaynoriD· 1 shared Braxton D. MitchelliD· 1 shared Charles C. HongiD· 1 shared Charles L KooperbergiD· 1 shared David R. WeiriD· 1 shared Elizabeth Pugh· 1 shared Godfrey BwireiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Bertrand BearzattoORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineGenesPeer-reviewedDec 24, 2022

Exome Array Analysis of 9,721 ischemic stroke cases from the SiGN Consortium

Huichun Xu, Kevin Nguyen, Brady J. Gaynor…·Braxton D. Mitchell

The paper analyzes exome array data from 9,721 ischemic stroke cases to identify coding variants associated with stroke, finding 15 significant variants, including 13 novel associations.

4 citations

humanwhole-exome sequencing

BioinformaticsPLoS ONEPeer-reviewedDec 11, 2019

Backward compatibility of whole genome sequencing data with MLVA typing using a new MLVAtype shiny application: the example of Vibrio cholerae

Jérôme Ambroise, Léonid M. Irenge, Jean-François Durant…·Jean‐Luc Gala

The paper introduces MLVAType, a tool that extracts MLVA profiles from WGS data while maintaining compatibility with traditional MLVA methods, and identifies limitations in k-mer size affecting accuracy.

11 citations

bacteria (other)whole-genome sequencing

BioinformaticsbioRxivPreprintAug 25, 2018

Assessing 16S marker gene survey data analysis methods using mixtures of human stool sample DNA extracts.

Nathan D. Olson, M. S. Binoj Kumar, Shan Li…·Héctor Corrada Bravo

The paper evaluates 16S rRNA marker gene analysis pipelines using a mixture dataset of human stool samples, finding DADA2 better captures specific features than Mothur and QIIME.

DOI 10.1101/400226

humanmetagenomics