Author
Michelle Moksa
University of British ColumbiaORCID 0000-0002-7852-4790Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2020-2026 · peak 2/yrCo-Author Collaboration Network
10 top collaborators · 39 mutual co-author links6 papers
Recent·Most cited
- GenomicsbioRxivPreprint
Cell type-specific epigenomic variation and its association with genotype in the human breast
Axel Hauduc, Jonathan Steif, Misha Bilenky…·Martin Hirst
The paper quantifies cell type-specific epigenomic variation in human breast epithelial cells and links it to genetic variants, showing most regulatory variants act in a single cell type.
- Cancer BiologyBiochimica et Biophysica Acta (BBA) - Molecular Basis of DiseasePeer-reviewed
tp53 R217H and R242H Mutant Zebrafish Exhibit Dysfunctional p53 Hallmarks and Recapitulate Li-Fraumeni Syndrome Phenotypes
Kim Kobar, Lissandra Tuzi, Jennifer A. Fiene…·Jason N. Berman
This study characterizes zebrafish models of Li-Fraumeni syndrome with TP53 mutations, showing dysfunctional p53 pathways, tumor development, and mutation-specific phenotypes.
- Cancer BiologybioRxivPreprint
Synovial Sarcoma Chromatin Dynamics Reveal a Continuum in SS18:SSX Reprograming
Jakob Hofvander, Alvin Qiu, Kiera Lee…·Martin Hirst
This study examines the epigenomic states of synovial sarcoma using multi-omics analysis, revealing a continuum of epigenomic states and identifying H3K4me3 inhibition as a potential therapeutic strategy.
- Genetic & Genomic MedicineJournal of Virological MethodsPeer-reviewed
Optimization of magnetic bead-based nucleic acid extraction for SARS-CoV-2 testing using readily available reagents
Simon Haile, Aidan M. Nikiforuk, Pawan K. Pandoh…·Martin Hirst
The paper optimizes a magnetic bead-based nucleic acid extraction protocol for SARS-CoV-2 testing to reduce cross-well contamination while maintaining sensitivity.
11 citations - GenomicsPLoS Computational BiologyPeer-reviewed
Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data
Camila P. E. de Souza, Mirela Andronescu, Tehmina Masud…·Sohrab P. Shah
Epiclomal clusters sparse single-cell DNA methylation data and imputes missing values, outperforming non-probabilistic methods and revealing sub-clonal methylation patterns in tumour genomes.
33 citations