About
This document describes how to use some scanpy-based scRNAseq workflows on galaxy Australia.
The aim of these workflows is to handle the routine ‘boring’ part of single cell RNAseq data processing. It will produces an ‘AnnData’ object, which can then be used as a base for downstream analysis – either within galaxy or outside of it. AnnData is a standard format used by the ‘scanpy’ python package.
These workflows represent just one way of processing data for a ‘typical’ scRNAseq experiment – there are many other options!
The how-to guide is available here
Contributors
Mike Thang
QCIF Bioinformatics / University of Queensland
Sarah Williams
QCIF Bioinformatics / Griffith University
Valentine Murigneaux
QCIF Bioinformatics / University of Queensland
Please cite this guide as follows
Please ensure you cite all the tools within this workflow that you use in your work (see references section), and consider also citing the Clustering 3kPBMCs with Scanpy tutorial tutorial upon which these workflows are based.
Acknowledgements
The workflows are based on the excellent Clustering 3kPBMCs with Scanpy tutorial
This guide makes use of the ELIXIR toolkit theme:
References
These workflows depend on the following tools and resources;
- Scanpy : Scanpy docs publication
- Cell Ranger: 10X citation guidelines
- STARSolo : publication
- Galaxy : Galaxy project
- Galaxy Australia: Galaxy Australia service
- Scanpy Scripts: scanpy scripts
- SCiAp galaxy tools: SCiAp galaxy tools
- IUC galaxy tools : IUC galaxy tools