Introduction

nf-core/eista is a bioinformatics pipeline that perform analysis for single-cell spatial transcriptomics data (Vizgen data). The pipeline is built using Nextflow and processes (implemented and to be implemented) are as follows:

• Primary analysis
  • Cell segmentation - defines cell boundaries from images
  • Partition transcripts - determine which cell contains each detected transcript
  • Calculate cell metadata - calculate the geometric attributes of each cell
  • Sum signals - find the intensity of each mosaic image in each cell
  • Update vzg - Updates an existing .vzg file with new segmentation boundaries and expression matrix
• Secondary analysis
  • QC & cell filtering - cell filtering and QC on raw data and filtered data
  • Clustering analysis - single-cell clustering analysis
  • Merging/integration of samples
  • Spatial statistics analysis - Neighbor enrichment analysis, calculating centrality scores and Moran's I score
• Tertiary analysis
  • Cell type annotation
  • Differential expression analysis
  • Other downstream analyses (to be implemented)
• Pipeline reporting
  • Analysis report - Single-ell Analysis Report.
  • MultiQC - Aggregate report describing results and QC for tools registered in nf-core
  • Pipeline information - Report metrics generated during the workflow execution

1. Read QC (FastQC)
2. Present QC for raw reads (MultiQC)

Usage

Note

If you are new to Nextflow and nf-core, please refer to this page on how to set-up Nextflow. Make sure to test your setup with -profile test before running the workflow on actual data.

Now, you can run the pipeline using:

nextflow run nf-core/eista \
   -profile <docker/singularity/.../institute> \
   --input samplesheet.csv \
   --outdir <OUTDIR>

Warning

Please provide pipeline parameters via the CLI or Nextflow -params-file option. Custom config files including those provided by the -c Nextflow option can be used to provide any configuration except for parameters; see docs.

For more details and further functionality, please refer to the usage documentation.

Pipeline output

To see the results of an example test run with a full size dataset refer to the results tab on the nf-core website pipeline page. For more details about the output files and reports, please refer to the output documentation.

Credits

nf-core/eista was originally written by Huihai Wu.

We thank the following people for their extensive assistance in the development of this pipeline:

Contributions and Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

For further information or help, don't hesitate to get in touch on the Slack #eista channel (you can join with this invite).

Citations

An extensive list of references for the tools used by the pipeline can be found in the CITATIONS.md file.

You can cite the nf-core publication as follows:

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.