scRNAseq: Load counts matrix
View on GitHub
Download RO-Crate
Run on GalaxyLoads a single cell counts matrix into an annData format - adding a column called sample with the sample name. (Input format - matrix.mtx, features.tsv and barcodes.tsv)
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| Sample | Sample | Short, unique sample name |
|
| barcodes.tsv | barcodes.tsv | n/a |
|
| genes.tsv | genes.tsv | n/a |
|
| matrix.mtx | matrix.mtx | n/a |
|
Steps
| ID | Name | Description |
|---|---|---|
| 4 | Scanpy Read10x | toolshed.g2.bx.psu.edu/repos/ebi-gxa/scanpy_read_10x/scanpy_read_10x/1.9.3+galaxy0 |
| 5 | Inspect AnnData | toolshed.g2.bx.psu.edu/repos/iuc/anndata_inspect/anndata_inspect/0.10.3+galaxy0 |
| 6 | Create text file | toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_text_file_with_recurring_lines/9.3+galaxy1 |
| 7 | Text transformation | This step replaces the first line with a header. Because the annotated data matrix also had a header, this works. toolshed.g2.bx.psu.edu/repos/bgruening/text_processing/tp_sed_tool/9.3+galaxy1 |
| 8 | Loaded Anndata with Sample name | AnnData object with supplied sample id. toolshed.g2.bx.psu.edu/repos/iuc/anndata_manipulate/anndata_manipulate/0.10.3+galaxy0 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| AnnData Loaded | AnnData Loaded | n/a |
|
Version History
main @ 7581788 (latest) Created 30th May 2024 at 06:44 by Sarah Williams
Updated workflow versions for anndata version conflict bugfix
Frozen
main7581788
main @ a95a4ee (earliest) Created 22nd Jun 2023 at 07:40 by Sarah Williams
counts matrix workflow doc, affiliations
Frozen
main
a95a4ee
Creators and SubmitterViews: 3543 Downloads: 276 Runs: 0
Created: 22nd Jun 2023 at 07:40
Last updated: 30th May 2024 at 06:44
Tags AttributionsNone
Collections
scRNAseq processing...
Related items
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 ...
