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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: 0.0.0-0c7146d
Total downloads: 1
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 135d883a43b1a2324b4112cd270cf22e20835533
Release Date 08 Apr 2026 19:11:32 (UTC)
Download URL https://registry-stage.nextflow.io/api/v1/modules/nf-core%2Fscvitools%2Fscar/0.0.0-0c7146d/download
OCI Store URL https://public.cr.stage-seqera.io/v2/nextflow/plugin-stage/modules/nf-core/scvitools/scar/blobs/sha256:5f7794b20b4c3e46a92a48fa2ca9e260ead18a2e2c869813a1a341ce088aaf7c
Size 3.6 KB
Checksum sha256:5f7794b20b4c3e46a92a48fa2ca9e260ead18a2e2c869813a1a341ce088aaf7c
Downloads 1
Version Date Status Downloads Size Diff
0.0.0-0c7146d 08 Apr 2026 19:11:32 (UTC) 1 3.6 KB -