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About

The Phipson laboratory works on both novel bioinformatics methods development as well as collaborative analysis projects with scientists within and external to the Institute. We use sophisticated statistical modelling to reveal insights into normal development and disease.

A major research focus of the Phipson laboratory is on developing new bioinformatics methods for data generated from single cell technologies. We also work on genomic data generated from other high-throughput technologies including RNA-seq and DNA methylation. Our novel bioinformatics methods are implemented as publicly available open source software through the Bioconductor project.

Current research areas of interest include:
– Developing statistical methods for designed single cell experiments with biological replication
– Advancing DNA methylation analysis for current and emerging technologies

Publications

Selected publications from Dr Belinda Phipson

Çubuk H, Jin X, Phipson B, Marsh JA, Rubin AF. Variant scoring tools for deep mutational scanning. Molecular Systems Biology. 2025;:10.1038/s44320-025-00137-x

Urban RQ, Keerthikumar S, Clark A, Wang H, Phipson B, Bakshi A, Ryan A, Thorne H, Taylor RA, Lawrence MG, Risbridger GP, Toivanen R, Goode DL. Single‐cell transcriptomics redefines focal neuroendocrine differentiation as a distinct prostate cancer pathology. Molecular Oncology. 2025;:10.1002/1878-0261.70099

Bhuva DD, Tan CW, Salim A, Marceaux C, Pickering MA, Chen J, Kharbanda M, Jin X, Liu N, Feher K, Putri G, Tilley WD, Hickey TE, Asselin-Labat M-L, Phipson B, Davis MJ. Library size confounds biology in spatial transcriptomics data. Genome Biology. 2024;25(1):10.1186/s13059-024-03241-7

Putri GH, Howitt G, Marsh-Wakefield F, Ashhurst TM, Phipson B. SuperCellCyto: enabling efficient analysis of large scale cytometry datasets. Genome Biology. 2024;25(1):10.1186/s13059-024-03229-3

Tan CW, Chen J, Liu N, Bhuva DD, Blick T, Monkman J, Cooper C, Kharbanda M, Feher K, Phipson B, Killingbeck EE, Pan L, Kim Y, Liang Y, Nam A, Leon M, Souza-Fonseca-Guimaraes P, Nagashima S, Martins APC, Machado-Souza C, de Noronha L, Tang B, Short K, Fraser J, Belz GT, Souza-Fonseca-Guimaraes F, Kulasinghe A, Davis MJ. In situ single-cell profiling sheds light on IFI27 localisation during SARS-CoV-2 infection. EBioMedicine. 2024;101:10.1016/j.ebiom.2024.105016

Homan CC, Drazer MW, Yu K, Lawrence DM, Feng J, Arriola-Martinez L, Pozsgai MJ, McNeely KE, Ha T, Venugopal P, Arts P, King-Smith SL, Cheah J, Armstrong M, Wang P, Bödör C, Cantor AB, Cazzola M, Degelman E, DiNardo CD, Duployez N, Favier R, Fröhling S, Rio-Machin A, Klco JM, Krämer A, Kurokawa M, Lee J, Malcovati L, Morgan NV, Natsoulis G, Owen C, Patel KP, Preudhomme C, Raslova H, Rienhoff H, Ripperger T, Schulte R, Tawana K, Velloso E, Yan B, Kim E, Sood R, Program NCS, Hsu AP, Holland SM, Phillips K, Poplawski NK, Babic M, Wei AH, Forsyth C, Fan HM, Lewis ID, Cooney J, Susman R, Fox LC, Blombery P, Singhal D, Hiwase D, Phipson B, Schreiber AW, Hahn CN, Scott HS, Liu P, Godley LA, Brown AL. Somatic mutational landscape of hereditary hematopoietic malignancies caused by germ line RUNX1, GATA2, and DDX41 variants. Blood Advances. 2023;7(20):10.1182/bloodadvances.2023010045

Kueh AJ, Bergamasco MI, Quaglieri A, Phipson B, Li-Wai-Suen CSN, Lönnstedt IM, Hu Y, Feng Z-P, Woodruff C, May RE, Wilcox S, Garnham AL, Snyder MP, Smyth GK, Speed TP, Thomas T, Voss AK. Stem cell plasticity, acetylation of H3K14, and de novo gene activation rely on KAT7. Cell Reports. 2023;42(1):10.1016/j.celrep.2022.111980

Phipson B, Sim CB, Porrello ER, Hewitt AW, Powell J, Oshlack A. propeller: testing for differences in cell type proportions in single cell data. Bioinformatics. 2022;38(20):10.1093/bioinformatics/btac582

Mehdiabadi NR, Sim CB, Phipson B, Kalathur RKR, Sun Y, Vivien CJ, Huurne MT, Piers AT, Hudson JE, Oshlack A, Weintraub RG, Konstantinov IE, Palpant NJ, Elliott DA, Porrello ER. Defining the Fetal Gene Program at Single-Cell Resolution in Pediatric Dilated Cardiomyopathy. Circulation. 2022;146(14):10.1161/circulationaha.121.057763

Maksimovic J, Oshlack A, Phipson B. Gene set enrichment analysis for genome-wide DNA methylation data. Genome Biology. 2021;22(1):10.1186/s13059-021-02388-x

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