SC-VAR
Here we report a human variants interpreter, 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 four layers: risk CREs,risk genes, gene sets, and cell types.
How to install?
pip install sc-var
About
Usage
Check https://github.com/gefeiZ/sc_var/tree/main/Vignettes 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
1 maintainer
Metadata
1 maintainer
Release files for sc-var 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sc_var-1.3.0.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sc_var-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.0 kB
Release files / sc_var-1.3.0.tar.gz
| Download URL | sc_var-1.3.0.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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Release files / sc_var-1.3.0-py3-none-any.whl
| Download URL | sc_var-1.3.0-py3-none-any.whl |
|---|---|
| Size | 11.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
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