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Kane edited this page Jul 22, 2022
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Welcome to the UCL_CI_Single_Cell wiki!
This wiki expolores the major steps of scRNAseq (or similar single-cell -omics) analyses. This is intended to be a way to enhance the conventional scRNAseq workflow described out in the Seurat or scanpy tutorials, as discussed in Luecken and Theis (2019). This is only meant to be read as a rough guideline, providing tips and suggesting articles to help expand or enhance custom analysis pipelines.
Several other in-depth articles examining scRNAseq analysis:
- Bioconductor OSCA (R)
- NBI Sweden Tutorials (R and Python)
- Babraham Institute Bioinformatics Tutorials
- Preprocessing
- Quality Control
- Clustering
- Integration and Batch Correction (WIP)
- Phenotyping (WIP)
- Differential Expression
- Differential Abundance
- Cell-cell Communication (WIP)
- Single-cell Immune Receptors (TCR, BCR) (WIP)
- T cells
- Myeloid cells (WIP)
- Tumour cells (WIP)
Kane Foster (30-05-2022)
Analysis Steps
- Preprocessing
- Quality Control
- Clustering
- Phenotyping (WIP)
- Differential Expression
- Differential Abundance
Specific Cell Types