Contents

The Single Cell Toolkit (SCTK) is an interactive scRNA-Seq analysis package that allows a user to upload raw scRNA-Seq count matrices and perform downstream scRNA-Seq analysis interactively through a web interface, or through a set of R functions through the command line. The package is written in R with a graphical user interface (GUI) written in Shiny. Users can perform analysis with modules for conducting quality control, clustering, batch correction, differential expression, pathway enrichment, and sample size calculator, all in a simple to use point and click interface. The toolkit also supports command line data processing, and results can be loaded into the GUI for additional exploration and downstream analysis.

1 Vignettes

Due to the range of features that are available in SCTK, we have prepared several vignettes to help you get started, which are all available at https://www.camplab.net/sctk/

Session info

## R version 4.1.1 Patched (2021-08-22 r80813)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Mojave 10.14.6
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] BiocStyle_2.22.0
## 
## loaded via a namespace (and not attached):
##  [1] bookdown_0.24       digest_0.6.28       R6_2.5.1           
##  [4] jsonlite_1.7.2      magrittr_2.0.1      evaluate_0.14      
##  [7] stringi_1.7.5       rlang_0.4.12        jquerylib_0.1.4    
## [10] bslib_0.3.1         rmarkdown_2.11      tools_4.1.1        
## [13] stringr_1.4.0       xfun_0.27           yaml_2.2.1         
## [16] fastmap_1.1.0       compiler_4.1.1      BiocManager_1.30.16
## [19] htmltools_0.5.2     knitr_1.36          sass_0.4.0