Author

Brian B Luczak

University of Tulsa

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Benjamin T. JamesiD· 2 shared Hani Z. GirgisiD· 2 shared

Activity by Year

2018-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Benjamin T. JamesORCID

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2 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedFeb 1, 2021

FASTCAR: Rapid alignment-free prediction of sequence alignment identity scores using self-supervised general linear models

Hani Z. Girgis, Benjamin T. James, Brian B Luczak

FASTCAR predicts pairwise DNA sequence identity scores using alignment-free methods and linear models, achieving faster performance than BLAST and USEARCH on large datasets.

19 citations

DNA methylationstatistical model

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedApr 13, 2018

MeShClust: an intelligent tool for clustering DNA sequences

Benjamin T. James, Brian B Luczak, Hani Z. Girgis

MeShClust uses mean shift and supervised learning to cluster DNA sequences accurately even with imprecise similarity parameters.

96 citations

whole-genome sequencingmachine learning (classical)

𝕏 PostBluesky