SCARLET (Single-cell Algorithm for Reconstructing Loss-supported Evolution of Tumors) is an algorithm that reconstructs tumor phylogenies from single-cell DNA sequencing data. SCARLET uses a loss-supported model that constrains mutation losses based on observed copy-number data.
Related to (Zaccaria and Raphael, 2018), the repository contains the simulated data, the results of all methods involved in the comparison, the results of HATCHet on the prostate and pancreas cancer datasets, and all data and analysis related to these last two cancer datasets.
HATCHet (Holistic Allele-specific Tumor Copy-number Heterogeneity) is an algorithm that infers allele and clone-specific CNAs and WGDs jointly across multiple tumor samples from the same patient, and that leverages the relationships between clones in these samples.
MASCoTE (Multiple Allele-specific Simulation of Copy-number Tumor Evolution) is a simulation framework to generate sequencing reads with appropriately corrections for the differences in genome lengths between the normal and tumor clone(s) present in multiple mixed samples.