Last updated: 2020-11-25
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Knit directory: bios_2020_single-cell-workshop-svi/
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| Rmd | eab0b17 | rlyu | 2020-11-16 | finalising analysis workflow and sctransform |
| html | eab0b17 | rlyu | 2020-11-16 | finalising analysis workflow and sctransform |
| html | 4f6f985 | rlyu | 2020-11-05 | Workshop material |
| Rmd | a4e1c17 | rlyu | 2020-11-04 | starting on analysis workflow Rmd |
| html | a4e1c17 | rlyu | 2020-11-04 | starting on analysis workflow Rmd |
| html | f658df0 | rlyu | 2020-10-02 | index page |
In this workshop, we will introduce the data infrastructure for scRNAseq analysis in R and practice a workflow of scRNAseq analysis; from pre-processing, quality control to dimensionality reduction aand clustering. We will then demonstrate the usage of marker genes for cell type annotation and an automatic approach for matching query cells to a reference altas with labels.
─ Session info ───────────────────────────────────────────────────────────────
setting value
version R version 4.0.3 (2020-10-10)
os Red Hat Enterprise Linux
system x86_64, linux-gnu
ui X11
language (EN)
collate en_AU.UTF-8
ctype en_AU.UTF-8
tz Australia/Melbourne
date 2020-11-25
─ Packages ───────────────────────────────────────────────────────────────────
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[1] /mnt/mcscratch/rlyu/Software/R/4.0/library
[2] /opt/R/4.0.3/lib/R/library