Daniel Lai

Senior Bioinformatics Scientist
Google Scholar
LinkedIn

Daniel has a background in microbiology, immunology and computer science, and has specialized in the analysis of next-generation genomics sequencing data. He currently manages a small team of programmers and analysts in a breast cancer research lab, helping medical researchers study genomic changes in cancer evolution and assisting in therapeutics discovery.

Papers

Clonal fitness inferred from time-series modelling of single-cell cancer genomes.

Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data.

Chemogenomic profiling of breast cancer patient-derived xenografts reveals targetable vulnerabilities for difficult-to-treat tumors.

Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.

Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses.

Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.

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.

Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.

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

CX-5461 is a DNA G-quadruplex stabilizer with selective lethality in BRCA1/2 deficient tumours.

Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates.

Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer.

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