scRNAseq Single Sample Processing STARSolo
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Run on usegalaxy.euFrom the R1 and R2 fastq files of a single samples, make a scRNAseq counts matrix, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData
Steps
| ID | Name | Description |
|---|---|---|
| 10 | scRNAseq: Count and Load with starSOLO | n/a |
| 11 | scRNAseq_CellQC | n/a |
| 12 | scRNAseq_QCtoBasicProcessing | n/a |
Version History
main @ fe052c0 (latest) Created 12th Dec 2023 at 03:15 by Sarah Williams
updated star solo index size to limit RAM useage since galaxy migration
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main @ 03682c0 Created 9th Nov 2023 at 01:58 by Sarah Williams
some differences in single sample workflows updated
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03682c0
main @ a95a4ee Created 22nd Jun 2023 at 07:36 by Sarah Williams
counts matrix workflow doc, affiliations
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master @ 76f52ed (earliest) Created 5th May 2023 at 07:29 by Sarah Williams
count and load
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Creators and SubmitterViews: 2247
Created: 5th May 2023 at 07:29
Last updated: 9th Nov 2023 at 01:58
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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 ...
