Author

Seong Lin Khaw

Royal Children's HospitalORCID 0000-0002-9084-8974Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Assay:scRNA-seq· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Paul G. EkertiD· 2 shared Akanksha SenapatiiD· 1 shared Alicia OshlackiD· 1 shared Andrew S. MooreiD· 1 shared Angela LiniD· 1 shared Ann Altekoester· 1 shared Antonio AhniD· 1 shared Ashleigh Sullivan· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Paul G. EkertORCID

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2 papers

Recent·Most cited

Closing the fusion-detection gap in single-cell RNA-seq with a scalable, probe-based workflow

Jovana Maksimovic, Victoria Streeton-Cook, Calandra V Grima, Diane T. Hanna, Noura Tawfic, Louise E. A. Ludlow, Lauren M. Brown, Paul G. Ekert, Sara Alaei, David Yoannidis, Hansen J. Kosasih, Deborah L. White, Antonio Ahn, Shom Goel, Seong Lin Khaw, , Teresa Sadras

The paper introduces a probe-based workflow to detect oncogenic gene fusions in single-cell RNA-seq, validated in cancer cell lines and pediatric B-ALL cohorts.

bioRxiv · Aug 29, 2026 · PreprintBioinformatics

Expanding the utility of transcriptome analysis for mutation detection in high-risk childhood precision oncology

Chelsea Mayoh, Paulette Barahona, Angela Lin, Lujing Cui, Pamela Ajuyah, Ann Altekoester, Loretta M. S. Lau, Dong-Anh Khuong-Quang, Patricia A. Sullivan, Akanksha Senapati, Sumanth Nagabushan, Ashleigh Sullivan, Natacha Omer, Andrew S. Moore, Wayne Nicholls, , Mark J. Cowley

This paper shows RNA-seq can detect most mutations found by WGS in pediatric tumors and provides additional insights into their pathogenicity.

bioRxiv · Jun 25, 2025 · PreprintGenomics