scRNAseq Single Sample Processing Counts Matrix
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Run on GalaxyTake a scRNAseq counts matrix from a single sample, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData object.
Depreciated: use individual workflows insead for multiple samples
Steps
| ID | Name | Description |
|---|---|---|
| 8 | scRNAseq: Load counts matrix | n/a |
| 9 | scRNAseq_CellQC | n/a |
| 10 | scRNAseq_QCtoBasicProcessing | n/a |
Version History
main @ 7581788 (latest) Created 30th May 2024 at 06:19 by Sarah Williams
Updated workflow versions for anndata version conflict bugfix
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main @ 03682c0 Created 9th Nov 2023 at 01:56 by Sarah Williams
some differences in single sample workflows updated
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main @ a95a4ee (earliest) Created 22nd Jun 2023 at 07:50 by Sarah Williams
counts matrix workflow doc, affiliations
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Creators and SubmitterViews: 4140 Downloads: 408 Runs: 1
Created: 22nd Jun 2023 at 07:50
Last updated: 30th May 2024 at 06:55
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Teams: QCIF Bioinformatics
Organizations: QCIF
The Australian BioCommons enhances digital life science research through world class collaborative distributed infrastructure. It aims to ensure that Australian life science research remains globally competitive, through sustained strategic leadership, research community engagement, digital service provision, training and support.
Teams: Australian BioCommons, QCIF Bioinformatics, Pawsey Supercomputing Research Centre, Sydney Informatics Hub, Janis, Melbourne Data Analytics Platform (MDAP), Galaxy Australia
Web page: https://www.biocommons.org.au/
Working closely with researchers, the QCIF Bioinformatics team apply data management, processing, integration, analysis and visualisation techniques to maximise the potential value of biological and clinical data sets. QCIF Bioinformatics is a partner in the Australian BioCommons.
Space: Australian BioCommons
Public web page: https://www.qcif.edu.au/
This collection houses 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 ...
