Andrew McPherson

Postdoctoral Fellow
Google Scholar

I am a Postdoctoral Fellow at the Department of Pathology and Laboratory Medicine at University of British Columbia. I am interested in understanding how tumour cells evolve in response to the immune system and cancer treatment, with the aim of improving treatment options. I currently work on the development of computational methods and infrastructure for single cell genome sequencing, with the intention of applying these methods to patient samples and derived xenografts.


clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers.

Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer.

ReMixT: clone-specific genomic structure estimation in cancer.

Observing Clonal Dynamics across Spatiotemporal Axes: A Prelude to Quantitative Fitness Models for Cancer.

E-scape: interactive visualization of single-cell phylogenetics and cancer evolution.

Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes.

Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study.

Clonal genotype and population structure inference from single-cell tumor sequencing.

Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer.

Spatial genomic heterogeneity within localized, multifocal prostate cancer.

Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.

TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data.

Genomic rearrangements involving programmed death ligands are recurrent in primary mediastinal large B-cell lymphoma.

nFuse: discovery of complex genomic rearrangements in cancer using high-throughput sequencing.

The clonal and mutational evolution spectrum of primary triple-negative breast cancers.

14-3-3 fusion oncogenes in high-grade endometrial stromal sarcoma.

deFuse: an algorithm for gene fusion discovery in tumor RNA-Seq data.

Comrad: detection of expressed rearrangements by integrated analysis of RNA-Seq and low coverage genome sequence data.

MHC class II transactivator CIITA is a recurrent gene fusion partner in lymphoid cancers.

ARID1A mutations in endometriosis-associated ovarian carcinomas.