Author

Anthony G Beckhouse

The University of QueenslandORCID 0009-0002-0645-9253Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:long-read sequencing· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:CUT&Tag· 1

Frequent Co-Authors

Piero CarninciiD· 2 shared Takeya KasukawaiD· 2 shared Adam BaliciD· 1 shared Ahmad M. N. Alhendi· 1 shared Ailsa J Carlisle· 1 shared Akira HasegawaiD· 1 shared Alan L. ArchibaldiD· 1 shared Alessandra CarboneiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Piero CarninciORCID

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3 papers

Recent·Most cited

Alternative promoters used during myeloid differentiation and upon activation change the gene products available for innate immune programs.

Miguel Ángel Berrocal-Rubio, Josie Gleeson, Masaki Kato, Diane Delobel, Hitesh Kore, Anthony G Beckhouse, Dipti Vijayan, Kelly J Hitchens, Takeya Kasukawa, Chi Wai Yip, Chen Zhan, Michael B. Clark, Benjamin L. Parker, Hazuki Takahashi, Piero Carninci, , Christine Anne Wells

The paper identifies new gene products and transcript isoforms in macrophage differentiation and activation, revealing how alternative promoters influence innate immune functions.

bioRxiv · Feb 3, 2026 · PreprintGenomics

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.

Mathys Grapotte, Manu Saraswat, Chloé Bessière, Christophe Menichelli, Jordan A. Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata, Miki Kojima-Ishiyama, Shohei Noma, Shuhei Noguchi, Takeya Kasukawa, Akira Hasegawa, , Lothar C. Dieterich

The paper identifies widespread transcription initiation at microsatellites across species and develops deep learning models to predict STR-associated transcription and its impact on disease variants.

Nature Communications · Jun 2, 2021Peer-reviewedGenomics

Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing

Anne Senabouth, Stacey B. Andersen, Qianyu Shi, Lei Shi, Feng Jiang, Wenwei Zhang, Kristof Wing, Maciej Daniszewski, Samuel W. Lukowski, Sandy S. C. Hung, Quan Hoang Nguyen, J. Lynn Fink, Anthony G Beckhouse, Alice Pébay, Alex William Hewitt, Joseph E. Powell

This study compares the performance of BGI and Illumina sequencing technologies for single-cell RNA-sequencing, finding that BGI outperforms Illumina in cell and gene detection but similar in gRNA detection.

NAR Genomics and Bioinformatics · May 13, 2020Peer-reviewedGenomics