Author

Brandon Y. Wong

Johns Hopkins UniversityORCID 0000-0002-7644-1916Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:long-read sequencing· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Organism:mouse· 2 Organism:Arabidopsis· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Mihaela PerteaiD· 2 shared Adam FrankishiD· 1 shared Alaina ShumateiD· 1 shared Alejandro PaniaguaiD· 1 shared Alessandra Martinez-Martin· 1 shared Ali MortazaviiD· 1 shared Alison D. TangiD· 1 shared Alla MikheenkoiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Mihaela PerteaORCID

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3 papers

Recent·Most cited

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Francisco J. Pardo-Palacios, Dingjie Wang, Fairlie Reese, Mark Diekhans, Sílvia Carbonell Sala, Brian A. Williams, Jane E. Loveland, Maite De María, Matthew S. Adams, Gabriela Balderrama-Gutierrez, Amit K. Behera, José M. González, Toby Hunt, Julien Lagarde, Cindy Liang, , Angela Norie Brooks

Benchmarking six long-read RNA-seq protocol-platform combinations and 14 tools across human, mouse, and manatee shows read length and accuracy drive isoform detection, depth drives quantification.

Nature Methods · Jun 7, 2024Peer-reviewedGenomics✦ In-depth digest

Improved Transcriptome Assembly Using a Hybrid of Long and Short Reads with StringTie

Alaina Shumate, Brandon Y. Wong, Geo M. Pertea, Mihaela Pertea

The paper improves transcriptome assembly by combining long and short reads using StringTie, achieving higher accuracy and transcript count than either method alone.

PLoS Computational Biology · Jun 1, 2022Peer-reviewedBioinformatics

Detecting and phasing minor single-nucleotide variants from long-read sequencing data

Zhixing Feng, José C. Clemente, Brandon Y. Wong, Eric E. Schadt

The paper introduces iGDA, a tool for accurately detecting and phasing minor SNVs from long-read sequencing data, even at low frequencies.

Nature Communications · May 24, 2021Peer-reviewedBioinformatics