1 Introduction

2 Background information

3 Illustrating dataset

4 Specifying the pipeline

5 Running the pipeline

6 Visualizing the results

7 Comparing pipelines

8 Example with two different QC methods

9 Visualizing scale transformations

10 Defining technical run parameters

Session information

## R version 4.4.1 (2024-06-14)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.1 LTS
## 
## Matrix products: default
## BLAS:   /home/biocbuild/bbs-3.20-bioc/R/lib/libRblas.so 
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_GB              LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: America/New_York
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] patchwork_1.3.0       CytoPipelineGUI_1.4.0 CytoPipeline_1.6.0   
## [4] BiocStyle_2.34.0     
## 
## loaded via a namespace (and not attached):
##   [1] DBI_1.2.3             gridExtra_2.3         rlang_1.1.4          
##   [4] magrittr_2.0.3        clue_0.3-65           GetoptLong_1.0.5     
##   [7] matrixStats_1.4.1     compiler_4.4.1        RSQLite_2.3.7        
##  [10] png_0.1-8             vctrs_0.6.5           reshape2_1.4.4       
##  [13] stringr_1.5.1         pkgconfig_2.0.3       shape_1.4.6.1        
##  [16] crayon_1.5.3          fastmap_1.2.0         magick_2.8.5         
##  [19] dbplyr_2.5.0          labeling_0.4.3        utf8_1.2.4           
##  [22] promises_1.3.0        ncdfFlow_2.52.0       rmarkdown_2.28       
##  [25] graph_1.84.0          tinytex_0.53          purrr_1.0.2          
##  [28] bit_4.5.0             xfun_0.48             zlibbioc_1.52.0      
##  [31] cachem_1.1.0          jsonlite_1.8.9        flowWorkspace_4.18.0 
##  [34] blob_1.2.4            highr_0.11            later_1.3.2          
##  [37] parallel_4.4.1        cluster_2.1.6         R6_2.5.1             
##  [40] bslib_0.8.0           stringi_1.8.4         RColorBrewer_1.1-3   
##  [43] jquerylib_0.1.4       Rcpp_1.0.13           bookdown_0.41        
##  [46] iterators_1.0.14      knitr_1.48            zoo_1.8-12           
##  [49] IRanges_2.40.0        flowCore_2.18.0       httpuv_1.6.15        
##  [52] tidyselect_1.2.1      yaml_2.3.10           doParallel_1.0.17    
##  [55] codetools_0.2-20      curl_5.2.3            lattice_0.22-6       
##  [58] tibble_3.2.1          plyr_1.8.9            Biobase_2.66.0       
##  [61] shiny_1.9.1           withr_3.0.2           evaluate_1.0.1       
##  [64] BiocFileCache_2.14.0  circlize_0.4.16       pillar_1.9.0         
##  [67] BiocManager_1.30.25   filelock_1.0.3        foreach_1.5.2        
##  [70] flowAI_1.36.0         stats4_4.4.1          generics_0.1.3       
##  [73] diagram_1.6.5         S4Vectors_0.44.0      ggplot2_3.5.1        
##  [76] munsell_0.5.1         ggcyto_1.34.0         scales_1.3.0         
##  [79] xtable_1.8-4          PeacoQC_1.16.0        glue_1.8.0           
##  [82] changepoint_2.2.4     tools_4.4.1           hexbin_1.28.4        
##  [85] data.table_1.16.2     XML_3.99-0.17         grid_4.4.1           
##  [88] RProtoBufLib_2.18.0   colorspace_2.1-1      cli_3.6.3            
##  [91] fansi_1.0.6           cytolib_2.18.0        ComplexHeatmap_2.22.0
##  [94] dplyr_1.1.4           Rgraphviz_2.50.0      gtable_0.3.6         
##  [97] sass_0.4.9            digest_0.6.37         BiocGenerics_0.52.0  
## [100] rjson_0.2.23          farver_2.1.2          memoise_2.0.1        
## [103] htmltools_0.5.8.1     lifecycle_1.0.4       httr_1.4.7           
## [106] GlobalOptions_0.1.2   mime_0.12             bit64_4.5.2