Warning: Please be aware that these videos are a snapshot, and as such may use an outdated version of the tutorial and/or Galaxy. Below the video you will find links to the tutorials as they appeared at the time of recording.
An introduction to scRNA-seq data analysis
Below are video tutorials for this GTN session, created for various (past) events.Single-cell RNA-seq analysis is a rapidly evolving field at the forefront of transcriptomic research, used in high-throughput developmental studies
An introduction to scRNA-seq data analysis (Lecture)
| Description: | Single-cell RNA-seq analysis is a rapidly evolving field at the forefront of transcriptomic research, used in high-throughput developmental studies and rare transcript studies to examine cell heterogeneity within a populations of cells. The cellular resolution and genome wide scope make it possible to draw new conclusions that are not otherwise possible with bulk RNA-seq. Slides created by Mehmet Tekman. |
| Length: | 20 minutes |
| Captions: | Mehmet Tekman |
| Created: | 15 February 2021 |
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Filter, plot and explore single-cell RNA-seq data (Scanpy) (Demo)
| Description: | You’ve done all the work to make a single cell matrix, with gene counts and mitochondrial counts and buckets of cell metadata from all your variables of interest, now it’s time to fully process our data, to remove low quality cells, to reduce the many dimensions of data that make it difficult to work with, and ultimately to try to define our clusters and to find our biological meaning and insights! |
| Length: | 30 minutes |
| Captions: | Wendi Bacon |
| Created: | 15 February 2021 |
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