Author

Daniel R. Hoogestraat

University of Washington Medical Center

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Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Brad T. Cookson· 1 shared Mary K. Stewart· 1 shared Molly Ryder· 1 shared Noah G. HoffmaniD· 1 shared Stephen J. SalipanteiD· 1 shared Yee Mey SeahiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Brad T. Cookson

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1 paper

Recent·Most cited

Identifying indels from WGS short reads of haploid genomes distinguishes variant-calling algorithms

Yee Mey Seah, Mary K. Stewart, Daniel R. Hoogestraat, Molly Ryder, Brad T. Cookson, Stephen J. Salipante, Noah G. Hoffman

The paper evaluates variant-calling algorithms for identifying indels in haploid bacterial genomes using synthetic reads and finds that high-quality soft-clipped reads improve detection of medium-length indels.

Journal of Clinical Microbiology · Jul 10, 2023Peer-reviewedBioinformatics