Author

Kin Fai Au

University of IowaORCID 0000-0002-9222-4241Unclaimed 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:experimental assay· 2 Organism:mouse· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Anqi WangiD· 2 shared Adam FrankishiD· 1 shared Adam HefeliD· 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

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Anqi WangORCID

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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

Single-molecule long-read sequencing reveals a conserved selection mechanism determining intact long RNA and miRNA profiles in sperm

Yu Huining Sun, Anqi Wang, Chi Wook Song, Goutham Shankar, Rajesh K. Srivastava, Kin Fai Au, Xin Zhiguo Li

The paper uses single-molecule long-read sequencing to identify conserved long RNA profiles in sperm and reveals a post-transcriptional selection mechanism shaping these profiles in mice and humans.

Nature Communications · Mar 1, 2021Peer-reviewedGenomics

Single-molecule long-read sequencing reveals the chromatin basis of gene expression

Yunhao Wang, Anqi Wang, Zujun Liu, Andrew L. Thurman, Linda S. Powers, Meng Zou, Yue Zhao, Adam Hefel, Yunyi Li, Joseph Zabner, Kin Fai Au

The paper introduces MeSMLR-seq to study chromatin accessibility and nucleosome organization at the single-cell level in yeast, revealing correlations between chromatin states and gene transcription.

Genome Research · Aug 1, 2019Peer-reviewedBioinformatics