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nf-core/scvitools/scar @ 0.0.0-0c7146d

Module to use scAR to remove ambient RNA from single-cell RNA-seq data

Latest version: 0.0.0-6c4ed3a
Total downloads: 5
Source: nf-core/modules
Authors: @nictru
Maintainers: @nictru

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

Process
Name SCVITOOLS_SCAR
Input 5 channels
#1 tuple
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 X.

output_layer string

Layer to save the denoised counts to. Defaults to scar.

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.

Output 2 channels
#1 h5ad tuple
meta map

Groovy Map containing sample information e.g. [ id:'test' ]

*.h5ad file

AnnData file containing decontaminated counts as adata.X

*.h5ad
#2 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