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.

Metagenomic diagnostics stack for low abundance sample types and clinical reporting

Code for STORK. Rapid Nanopore Sequencing–Based Screen for Aneuploidy in Reproductive Care. “Copyright © 2022 The Trustees of Columbia University in the City of New York. All Rights Reserved.”

Containerized workflow for single cell detection of loss of Y chromosome and other mosaic chromosomal alterations in chronic kidney disease

R package to work with qPCR quantification of (bulk) aneuploidies.

Easy filtering of Aneufinder model files based on QC measurements

Python script to model mixed disomic and tetrasomic inheritance in a population of allotetraploid plants.

This project contains the code for the manuscript "Explainable Machine Learning Identifies Factors for Dosage Compensation in Aneuploid Human Cancer Cells" by Heller et al. (https://doi.org/10.1101/2025.05.12.653427).