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| 1 | + |
| 2 | +# Introduction |
| 3 | + |
| 4 | +The document describes the generic data processing and analysis steps applied to the scRNA-seq data as below: |
| 5 | + |
| 6 | + - ThescRNA-seq data set is generated using the 10x Genomics Chromium technology |
| 7 | + - The data set includes 2 or more treatment groups and the main analysis goal is the differential gene expression between groups |
| 8 | + - Each treatment group includes 2 or more replicates (individual scRNA-seq libraries) |
| 9 | + |
| 10 | +# Data processing and analysis |
| 11 | + |
| 12 | +## Raw data processing by Cell Ranger |
| 13 | + |
| 14 | +By default, the Cell Ranger pipeline is used to |
| 15 | + |
| 16 | + - Demultiplex the raw sequencing data in BCL (base call) file into FASTQ files of individual scRNA-seq libraries |
| 17 | + - Align sequencing reads to reference transcriptome (GRCh38, GRCm38, etc.) |
| 18 | + - Aligned to reads are mapped to genes and split by their barcodes to generate a feature-barcode (gene-cell) read count matrix |
| 19 | + - The read count matrix is filtered to remove barcodes (cells) with low total counts (default=500) |
| 20 | + - The filtered read count matrices of multiple libraries are aggregated to generate a single gene-cell matrix for the whole data set |
| 21 | + |
| 22 | +## |
| 23 | + |
| 24 | + |
| 25 | +# References |
| 26 | + |
| 27 | + - [Cell Ranger](https://support.10xgenomics.com/single-cell-gene-expression/software/overview/welcome) |
| 28 | + - [Seurat](https://satijalab.org/seurat/) |
| 29 | + - [Current best practices](https://www.embopress.org/doi/full/10.15252/msb.20188746) |
| 30 | + - [Experimental design](https://academic.oup.com/bfg/article/17/4/233/4604806) |
| 31 | + - [Granatum: graphical pipeline](https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-017-0492-3) |
| 32 | + - [scPipe: Bioconductor preprocessing pipeline](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006361) |
| 33 | + - [Compare clustering tools](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124389.2) |
| 34 | + - [Workflow via Wei Sun](http://research.fhcrc.org/content/dam/stripe/sun/software/scRNAseq/scRNAseq.html) |
| 35 | + - [Analyze with DESeq2](http://bioconductor.org/packages/devel/bioc/vignettes/DESeq2/inst/doc/DESeq2.html) |
| 36 | + - [Monocle 3](https://cole-trapnell-lab.github.io/monocle3/) |
| 37 | + |
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