vignettes/index.md

In keita-iida/ASURATBI: A pipeline especially built for computing several single-cell datasets

Applying ASURAT to single-cell and spatial transcriptome datasets

Keita Iida 2022-07-14

Table of contents

• Analyses of single-cell transcriptome of PBMC 4k from healthy donors (10x Genomics)
• Analyses of single-cell transcriptome of PBMC 6k from healthy donors (10x Genomics)
• Analyses of single-cell transcriptomes of PBMCs from control and sepsis donors (Reyes et al., 2020)
• Additional computations for the PBMC datasets
• Analyses of single-cell transcriptomes of small cell lung cancer (Stewart et al., 2020)
• Analyses of single-cell and spatial transcriptomes of pancreatid ductal adenocarcinoma (Moncada et al., 2020)
• Miscellaneous

Session information

sessionInfo()
#> R version 4.2.1 (2022-06-23)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur ... 10.16
#> 
#> Matrix products: default
#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
#> 
#> locale:
#> [1] en_US.UTF-8/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     
#> 
#> loaded via a namespace (and not attached):
#>  [1] compiler_4.2.1  magrittr_2.0.3  fastmap_1.1.0   cli_3.3.0      
#>  [5] tools_4.2.1     htmltools_0.5.2 rstudioapi_0.13 yaml_2.3.5     
#>  [9] stringi_1.7.6   rmarkdown_2.14  knitr_1.39      stringr_1.4.0  
#> [13] xfun_0.31       digest_0.6.29   rlang_1.0.3     evaluate_0.15

keita-iida/ASURATBI documentation built on Feb. 16, 2023, 9:37 a.m.