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Matthew E. Ritchie

Melbourne Health · AU
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Area of research
Molecular Biology
Research interest
Research interests include Single-cell and spatial transcriptomics, Gene expression and cancer classification, Molecular Biology Techniques and Applications, and Epigenetics and DNA Methylation.
h-index
57
citations
57,956
works
269
NIH funding
primary concept
Biology
email

Recent publications

The E3-ome gene-centric compendium reveals the human E3 ligase landscape
Cell 2026cited by 5position: middledoi
<i>Alpseq</i>: an open-source workflow to turbocharge nanobody discovery with high-throughput sequencing.
2026cited by 1position: contributordoi
Complete genetic and epigenetic architecture of D4Z4 macrosatellites in FSHD, BAMS, and reference cohorts with D4Z4End2End.
2026cited by 0position: contributordoi
<i>SpatialBench</i> : Comparative cross-platform benchmarking of high-resolution spatial transcriptomics using matched mouse lymphoid tissue
2026cited by 0position: contributordoi
Benchmarking spatial transcriptomics technologies with the multi-sample SpatialBenchVisium dataset.
2025cited by 14position: contributordoi
Benchmarking long-read RNA-sequencing technologies with <i>LongBench:</i> a cross-platform reference dataset profiling cancer cell lines with bulk and single-cell approaches
2025cited by 9position: contributordoi
γδ T cells modulate anti-tumor immunity in small cell lung cancer
2025cited by 2position: contributordoi
D4Z4End2End: complete genetic and epigenetic architecture of D4Z4 macrosatellites in FSHD, BAMS and reference cohorts
2025cited by 1position: contributordoi
Igniting full-length isoform analysis in single-cell and spatial RNA-seq data with FLAMESv2
2025cited by 1position: contributordoi
stPipe: a flexible and streamlined R/Bioconductor pipeline for preprocessing sequencing-based spatial transcriptomics data.
2025cited by 0position: contributordoi
<i>alpseq</i> : an open-source workflow to turbocharge nanobody discovery with high-throughput sequencing
2025cited by 0position: contributordoi
Comparative Analysis of Single-Nucleus and Single-Cell RNA Sequencing in Human Bone Marrow Mononuclear Cells: Methodological Insights and Trade-offs
2025cited by 0position: contributordoi
<i>stPipe:</i> A flexible and streamlined R/Bioconductor pipeline for preprocessing sequencing-based spatial transcriptomics data
2025cited by 0position: contributordoi
Powerful read processing with <i>matchbox</i>
2025cited by 0position: contributordoi
Towards accurate, reference-free differential expression: A comprehensive evaluation of long-read <i>de novo</i> transcriptome assembly
2025cited by 0position: contributordoi
Systematic assessment of long-read RNA-seq methods for transcript identification and quantification
Nature Methods 2024cited by 195position: middledoi
Systematic assessment of long-read RNA-seq methods for transcript identification and quantification.
2024cited by 191position: contributordoi
Systematic comparison of sequencing-based spatial transcriptomic methods.
2024cited by 139position: contributordoi
An immunohistochemical atlas of necroptotic pathway expression
EMBO Molecular Medicine 2024cited by 32position: middledoi
Dividing out quantification uncertainty allows efficient assessment of differential transcript expression with edgeR.
2024cited by 31position: contributordoi
Establishment of single-cell transcriptional states during seed germination.
2024cited by 23position: contributordoi
Flexiplex: a versatile demultiplexer and search tool for omics data
Bioinformatics 2024cited by 22position: middledoi
Measuring X-Chromosome inactivation skew for X-linked diseases with adaptive nanopore sequencing.
2024cited by 11position: contributordoi
Spotlight on 10x Visium: a multi-sample protocol comparison of spatial technologies
2024cited by 11position: contributordoi
Venetoclax dose escalation rapidly activates a BAFF/BCL-2 survival axis in chronic lymphocytic leukemia.
2024cited by 8position: contributordoi
An optimized protocol for quality control of gene therapy vectors using nanopore direct RNA sequencing.
2024cited by 5position: contributordoi
A dataset examining technical factors on fixed white blood cell single-cell RNA-seq.
2024cited by 2position: contributordoi
A streamlined workflow for long-read DNA methylation analysis with NanoMethViz and Bioconductor.
2024cited by 1position: contributordoi
A lipid signature of BAK-driven apoptotic pore formation
2024cited by 0position: contributordoi
Measuring X inactivation skew for retinal diseases with adaptive nanopore sequencing
2024cited by 0position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

· 75 papers (2019–2026) · 31 papers (2019–2026)Marnie E. Blewitt · University of Sydney13 papers (2020–2026)Shian Su · The Walter and Eliza Hall Institute of Medical Research13 papers (2019–2026)Peter Hickey · Stanford University12 papers (2019–2026)Xueyi Dong · Anhui University12 papers (2019–2024)Gordon K. Smyth · Molecular Research Institute10 papers (2019–2024)Kathleen Zeglinski · The University of Melbourne10 papers (2022–2026)Rory Bowden · Parks Victoria9 papers (2022–2026) · 9 papers (2022–2026)Charity Law · The University of Melbourne8 papers (2020–2024)Yunshun Chen · Walter and Eliza Hall Institute of Medical Research8 papers (2022–2026) · 7 papers (2019–2025)Kelsey Breslin · Walter and Eliza Hall Institute of Medical Research7 papers (2021–2024)Shanika L. Amarasinghe · Monash University6 papers (2021–2023)Andrew Keniry · F1000Research6 papers (2020–2023)D. Amann-Zalcenstein · The University of Melbourne6 papers (2020–2026)Kelly L. Rogers · The University of Melbourne5 papers (2019–2026)Changqing Wang · Walter and Eliza Hall Institute of Medical Research5 papers (2024–2026)Stephen Nutt · Parks Victoria5 papers (2020–2022)
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