/vsn-pipelines

A repository of pipelines for single-cell data in Nextflow DSL2

Primary LanguageNextflowGNU General Public License v3.0GPL-3.0

VSN-Pipelines

A repository of pipelines for single-cell data analysis in Nextflow DSL2.

GitHub release (latest by date) Documentation Status Zenodo Gitter Nextflow

Full documentation is available on Read the Docs, or take a look at the Quick Start guide.

This main repo contains multiple workflows for analyzing single cell transcriptomics data, and depends on a number of tools, which are organized into subfolders within the src/ directory. The VIB-Singlecell-NF organization contains this main repo along with a collection of example runs (VSN-Pipelines-examples). Currently available workflows are listed below.

If VSN-Pipelines is useful for your research, consider citing:

Raw Data Processing Workflows

These are set up to run Cell Ranger and DropSeq pipelines.

Raw Data Processing Workflows
Pipeline / Entrypoint Purpose Documentation
cellranger Process 10x Chromium data cellranger
demuxlet_freemuxlet Demultiplexing demuxlet_freemuxlet
nemesh Process Drop-seq data nemesh

Single Sample Workflows

The Single Sample Workflows perform a "best practices" scRNA-seq analysis. Multiple samples can be run in parallel, treating each sample separately.

Single Sample Workflows
Pipeline / Entrypoint Purpose Documentation
single_sample Independent samples Single-sample Pipeline
single_sample_scenic Ind. samples + SCENIC Single-sample SCENIC Pipeline
scenic SCENIC GRN inference SCENIC Pipeline
scenic_multiruns SCENIC run multiple times SCENIC Multi-runs Pipeline
single_sample_scenic_multiruns Ind. samples + multi-SCENIC Single-sample SCENIC Multi-runs Pipeline
single_sample_scrublet Ind. samples + Scrublet Single-sample Scrublet Pipeline
decontx DecontX DecontX Pipeline
single_sample_decontx Ind. samples + DecontX Single-sample DecontX Pipeline
single_sample_decontx_scrublet Ind. samples + DecontX + Scrublet Single-sample DecontX Scrublet Pipeline

Sample Aggregation Workflows

Sample Aggregation Workflows: perform a "best practices" scRNA-seq analysis on a merged and batch-corrected group of samples. Available batch correction methods include BBKNN, mnnCorrect, and Harmony.

Sample Aggregation Pipelines
Pipeline / Entrypoint Purpose Documentation
bbknn Sample aggregation + BBKNN BBKNN Pipeline
bbknn_scenic BBKNN + SCENIC BBKNN SCENIC Pipeline
harmony Sample aggregation + Harmony Harmony Pipeline
harmony_scenic Harmony + SCENIC Harmony SCENIC Pipeline
mnncorrect Sample aggregation + mnnCorrect MNN-correct Pipeline

In addition, the pySCENIC implementation of the SCENIC workflow is integrated here and can be run in conjunction with any of the above workflows. The output of each of the main workflows is a loom-format file, which is ready for import into the interactive single-cell web visualization tool SCope. In addition, data is also output in h5ad format, and reports are generated for the major pipeline steps.

scATAC-seq workflows

Single cell ATAC-seq processing steps are now included in VSN Pipelines. Currently, a preprocesing workflow is available, which will take fastq inputs, apply barcode correction, read trimming, bwa mapping, and output bam and fragments files for further downstream analysis. See here for complete documentation.