R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.

Clone trees for Cancer Evolution studies from bulk sequencing data.

Nextflow pipeline for extracting and counting clonal barcodes

Agent-based modelling reveals the impact of growth patterns on spatial and temporal features of clonal diversification. A GitHub repository of the Source Code for the model and Source Data for the figures of the paper.

Agent-based modelling reveals the impact of growth patterns on spatial and temporal features of clonal diversification. A GitHub repository of the Source Code for the model and Source Data for the figures of the paper.

Lineage inference from Gene Therapy assays with insertional mutagenesis and somatic mutations

multiomics single-cell copy number alterations detection

Inference of subclonal populations in cancer genomes using smoothing splines

Statistical testing for GBM Margin/ Primary tumours

R Package for interrogating clonal data