Summary statistics from single-cell BINary mUation MAtrices in Python.

A binary muation matrix $A$ (also known as a genotype matrix) is a NxD array where the rows are unique mutations and columns unique cells found in the sequencing sample. The entry $a_{ij}$ is 1 if the mutation $i$ is present in the cell $j$, otherwise $a_{ij}$ is 0.

The following statistics are implemented for now:

1. site frequency spectrum (SFS): the frequency of the number mutations found in each cell
2. single-cell mutational burden: the number of mutations found in each cell

This package provides allows to compute the statistics for the following datasets:

• single-cell resolution WGS data of healthy donors from Mitchell et al. 2022
• single-cell resolution WGS data of CML patients from Kamizela et al. 2025