Author
N. Davidson
The University of MelbourneORCID 0000-0002-8461-7467Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2018-2026 · peak 5/yrCo-Author Collaboration Network
10 top collaborators · 18 mutual co-author links18 papers
Recent·Most cited
seqsizzle: decoding complex barcode and adapter architectures in long-read sequencing data
Changqing Wang, Matthew E. Ritchie, N. Davidson
seqsizzle is a tool for visualizing and troubleshooting long-read sequencing data, enabling primer sequence identification and quality control through fuzzy matching and k-mer analysis.
bioRxiv · Sep 25, 2026 · PreprintBioinformatics
MNT loss in MYC-driven B lymphoma cells enhances apoptosis, inhibits proliferation and increases sensitivity to cancer drugs.
Hai Vu Nguyen, Marcel Michla, Feng Yan, N. Davidson, Gemma L. Kelly, Andreas Strasser, Suzanne Cory
This study shows that losing MNT in MYC-driven lymphoma cells increases apoptosis, reduces proliferation, and makes them more sensitive to cancer drugs.
bioRxiv · May 1, 2026 · PreprintCancer Biology
IdentifiHR: predicting homologous recombination deficiency in high-grade serous ovarian carcinoma using gene expression
Ashley L. Weir, Samuel C. Lee, Mengbo Li, Ahwan Pandey, Chin Wee Tan, Dale W. Garsed, Susan J. Ramus, Nadia M. Davidson
IdentifiHR predicts homologous recombination deficiency in high-grade serous ovarian carcinoma using gene expression, achieving 85% accuracy in TCGA and 91% in an independent cohort.
Communications Medicine · Jan 14, 2026Peer-reviewedCancer Biology
Igniting full-length isoform analysis in single-cell and spatial RNA-seq data with FLAMESv2
Changqing Wang, Yair D. J. Prawer, Oliver Voogd, Jakob Schuster, Camilla Pasquali, Ricardo De Paoli‐Iseppi, Anran Li, Jeannette Hallab, Luyi Tian, Hongke Peng, Margaux David, Mei R. M. Du, Silvia Velasco, Maria Giovanna Garone, Xueyi Dong, , Yupei You
FLAMESv2 is a flexible R/Bioconductor package for analyzing long-read single-cell RNA-seq data, demonstrating field-leading performance in isoform analysis and cell-type identification.
bioRxiv · Oct 19, 2025 · PreprintBioinformatics
Long-read sequencing-based atlas of tissue-specific expression of Drp1 transcript variants
Feng Yan, Jafar S. Jabbari, Naomi X.Y. Ling, Anne M. Kong, Jia Quyen Truong, Ayeshah Augusta Rosdah, Christopher G. Langendorf, Lifang Zhang, Jarmon G. Lees, Sebastian Bass-Stringer, Danise Ann Onda, Kim Loh, Jessica K. Holien, Sean Lal, Nadia M. Davidson, , Shiang Yong Lim
The paper uses long-read sequencing to map Drp1 transcript variants in human and mouse tissues, revealing tissue-specific expression and isoform-dependent mitochondrial fission activity.
bioRxiv · Oct 6, 2025 · PreprintCell Biology
Benchmarking long-read RNA-sequencing technologies with LongBench: a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches
Yupei You, Ashleigh N. Solano, James Lancaster, Margaux David, Changqing Wang, Jia Wei Tan, Shian Su, Camilla Pasquali, Kathleen Zeglinski, Reza Ghamsari, Manveer Chauhan, Josie Gleeson, Yair D. J. Prawer, Jin Ng, Bénédicte Dubois, , Matthew E. Ritchie
LongBench benchmarks long-read RNA-sequencing technologies using a cross-platform dataset of cancer cell lines, showing high gene-level concordance but reduced transcript-level consistency across platforms.
bioRxiv · Sep 11, 2025 · PreprintGenomics
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines
Ying Chen, N. Davidson, Yuk Kei Wan, Fei Yao, Yan Su, Hasindu Gamaarachchi, Andre Sim, Harshil Patel, Hwee Meng Low, Christopher Hendra, Laura Wratten, Christopher Hakkaart, Chelsea Sawyer, Viktoriia Iakovleva, Puay Leng Lee, , Jonathan Göke
This study benchmarks Nanopore long read RNA sequencing in human cell lines, showing improved isoform resolution compared to short reads.
Nature Methods · Mar 13, 2025Peer-reviewedGenomics
Towards accurate, reference-free differential expression: A comprehensive evaluation of long-read de novo transcriptome assembly
Feng Yan, Pedro L. Baldoni, James Lancaster, Matthew E. Ritchie, Mathew G. Lewsey, Quentin A. Gouil, N. Davidson
This study evaluates long-read de novo transcriptome assembly tools for differential expression analysis without a reference genome, finding RNA-Bloom2 with Corset as the most accurate and efficient.
bioRxiv · Feb 2, 2025 · PreprintBioinformatics
Flexiplex: A versatile demultiplexer and search tool for omics data
Oliver Cheng, Min Hao Ling, Changqing Wang, Shuyi Wu, Matthew E. Ritchie, Jonathan Göke, Noorul Amin, N. Davidson
Flexiplex is a versatile sequence searching and demultiplexing tool for omics data that balances accuracy and efficiency, demonstrated on single cell RNA-seq and genotyping tasks.
Bioinformatics · Feb 21, 2024Peer-reviewedBioinformatics
Single-cell Rapid Capture Hybridization sequencing (scRaCH-seq) to reliably detect isoform usage and coding mutations in targeted genes at a single-cell level
Hongke Peng, Jafar S. Jabbari, Luyi Tian, Changqing Wang, Yupei You, Chong Chyn Chua, Natasha S. Anstee, Noorul Amin, Andrew H. Wei, N. Davidson, Andrew Warwick Roberts, David C.S. Huang, Matthew E. Ritchie, Rachel Thijssen
The paper introduces scRaCH-seq, a method for single-cell long-read sequencing that improves detection of isoform usage and mutations in targeted genes, demonstrating its application in CLL samples.
bioRxiv · Jan 30, 2024Molecular Biology
Extraction and quantification of lineage-tracing barcodes with NextClone and CloneDetective
Givanna Putri, Nichelle Pires, N. Davidson, Catherine Blyth, Aziz M. Al’Khafaji, Shom Goel, Belinda Phipson
The paper introduces NextClone and CloneDetective for extracting and quantifying lineage-tracing barcodes from scRNA-seq and DNA sequencing data.
bioRxiv · Nov 19, 2023 · PreprintBioinformatics
JAFFAL: Detecting fusion genes with long read transcriptome sequencing
N. Davidson, Ying Chen, Teresa Sadras, Georgina L. Ryland, Piers A. Blombery, Paul G. Ekert, Jonathan Göke, Alicia Oshlack
JAFFAL detects fusion genes from long-read transcriptome sequencing with high accuracy, outperforming existing methods and enabling single-cell resolution.
Genome biology · Jan 6, 2022Peer-reviewedBioinformatics
MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data
Marek Cmero, Breon Schmidt, Ian J. Majewski, Paul G. Ekert, Alicia Oshlack, N. Davidson
MINTIE identifies novel structural and splice variants in transcriptomes using RNA-seq data, outperforming existing methods in detecting a wide range of variants.
Genome biology · Oct 22, 2021Peer-reviewedBioinformatics
ALLSorts: a RNA-Seq classifier for B-Cell Acute Lymphoblastic Leukemia.
Breon Schmidt, Lauren M. Brown, Georgina L. Ryland, Andrew Lonsdale, Hansen J. Kosasih, Louise E. A. Ludlow, Ian J. Majewski, Piers A. Blombery, Paul G. Ekert, N. Davidson, Alicia Oshlack
ALLSorts classifies B-ALL samples into 18 subtypes and five meta-subtypes using RNA-Seq data with high accuracy.
bioRxiv · Aug 1, 2021 · PreprintBioinformatics
Fast and accurate differential transcript usage by testing equivalence class counts
Marek Cmero, N. Davidson, Alicia Oshlack
The paper introduces a method for differential transcript usage analysis using equivalence class counts, showing comparable sensitivity and speed to exon-level counts.
F1000Research · Mar 7, 2019Peer-reviewedBioinformatics
Clinker: visualising fusion genes detected in RNA-seq data
Breon Schmidt, N. Davidson, Anthony D. K. Hawkins, Ray C. Bartolo, Ian J. Majewski, Paul G. Ekert, Alicia Oshlack
Clinker visualizes fusion genes detected in RNA-seq data, enabling interpretable analysis of fusion transcripts and breakpoints in B-ALL.
GigaScience · Jul 1, 2018Peer-reviewedBioinformatics
Necklace: combining reference and assembled transcriptomes for more comprehensive RNA-Seq analysis
Necklace combines reference and assembled transcriptomes to create a comprehensive superTranscriptome for RNA-Seq analysis, enabling more accurate differential expression testing.
GigaScience · May 1, 2018Peer-reviewedBioinformatics