An approch for interpreting disease-associated human variants using single-cell epigenomics
Project description
SC-VAR
Here we report a human variants interpretation software for single cell data, named SC-VAR.
What can sc-var do?
This tool can interpret disease-related risks with whole genome wide (including both coding and non-coding regions) variants from GWAS studies and single-cell data on three layers: risk genes, gene sets, and cell types.
How to install?
pip install sc-var
check https://pypi.org/project/sc-var/
About
\includegraphics[]{../Desktop/flow.png}
Usage
Check https://github.com/gefeiZ/sc_var/ for details
Data request:
Single cell data & Peak co-accessibility Data or Peak to gene linkage Data (which could obtained from single cell data using cicero or signac) & GWAS data
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