Bioinformatics ressources
6
Single Cell
welcome booklet
1
Introduction
Good practice
2
Raw data
3
Organize an analysis
R tips
4
R projects
5
Renv
Bioinformatics ressources
6
Single Cell
7
Workshop and training
8
Cheat Sheets
Table of contents
6.1
Packages
6.2
Documentation
6.3
Databases
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Bioinformatics ressources
6
Single Cell
6
Single Cell
6.1
Packages
R:
General analysis:
Seurat
Annotation:
sc-type
SingleR
Trajectories:
dynverse
monocle3
slingshot
Spatial analysis:
semla
Python:
General analysis:
scanpy
anndata
6.2
Documentation
Best practices in single cell
[link]
Tools developped for single cell
[link]
6.3
Databases
cellxgene
Human Cell Atlas
EBI Single Cell Expression Atlas
Arc Virtual Cell Atlas
: 230 million cells (and expanding), spanning 21 organisms and 72 tissues
5
Renv
7
Workshop and training