Recorded webinar
Single cell RNA-seq analysis using a Galaxy interface
In this webinar, we will look at a Galaxy interface for single cell analysis. Specifically, we will run Scanpy (which would otherwise require Python programming skills) to analyse a Drop-seq dataset located in EMBL-EBI's Single Cell Expression Atlas.
Who is this course for?
This webinar is aimed at individuals interested in single cell RNA-seq analysis. No prior knowledge of bioinformatics is required, but an undergraduate level understanding of biology would be useful.
DOI:
10.6019/TOL.scRNA-seqGalaxy-w.2019.00001.1
This webinar took place on 11 December 2019. Please click the 'Watch video' button to view the recording.
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EBI Resources
An added-value database that shows which genes/proteins are expressed under which conditions, and how expression differs between conditions.
Anna Swan
Organisers
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Anna Swan
EMBL-EBI
Speakers
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Wendi Bacon
EMBL-EBI
All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.
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