nf-core/scvitools/scar @ 0.0.0-0c7146d
Summary
Module to use scAR to remove ambient RNA from single-cell RNA-seq data
Get started
Add the following snippet to your workflow script to include this module.
include { SCVITOOLS_SCAR } from 'nf-core/scvitools/scar'
License
MIT License
Name
|
SCVITOOLS_SCAR |
|---|
meta
map
|
Groovy Map containing sample information e.g. [ id:'test' ] |
|---|---|
filtered
file
|
AnnData file containing filtered data (without empty droplets) *.h5ad
|
unfiltered
file
|
AnnData file containing unfiltered data (with empty droplets) *.h5ad
|
input_layer
string
|
Layer to use as input. Defaults to |
|---|
output_layer
string
|
Layer to save the denoised counts to. Defaults to |
|---|
max_epochs
integer
|
Maximum number of epochs to train the model. Defaults to the heuristic default. |
|---|
n_batch
integer
|
Number of batches to use for generating the ambient profile. Defaults to 1. This can be increased to prevent out-of-memory errors. |
|---|
h5ad
tuple
meta
map
|
Groovy Map containing sample information e.g. [ id:'test' ] |
|---|---|
*.h5ad
file
|
AnnData file containing decontaminated counts as *.h5ad
|
versions
versions.yml
file
|
File containing software version versions.yml
|
|---|
| Tool | Description | Homepage |
|---|---|---|
| scvitools | scvi-tools (single-cell variational inference tools) is a package for end-to-end analysis of single-cell omics data | n/a |
| scar | scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics. | n/a |
| Version | 0.0.0-0c7146d |
|---|---|
| Commit ID | 6c4ed3a220310b905a1fc9d04f05be2e0837142b |
| Release Date | 08 Apr 2026 19:35:23 (UTC) |
| Download URL | https://registry.nextflow.io/api/v1/modules/nf-core%2Fscvitools%2Fscar/0.0.0-0c7146d/download |
| OCI Store URL | https://public.cr.seqera.io/v2/nextflow/plugin/modules/nf-core/scvitools/scar/blobs/sha256:f0a8116b7b59df8a0d4b36f4c6bbec3c51c98eeff87e6ff766d1cc484ef5ce92 |
| Size | 3.5 KB |
| Checksum | sha256:f0a8116b7b59df8a0d4b36f4c6bbec3c51c98eeff87e6ff766d1cc484ef5ce92 |
| Downloads | 2 |
| Version | Date | Status | Downloads | Size |
|---|---|---|---|---|
| 0.0.0-6c4ed3a | 23 Apr 2026 15:43:42 (UTC) | 3 | 3.6 KB | |
| 0.0.0-0c7146d | 08 Apr 2026 19:35:23 (UTC) | 2 | 3.5 KB |