This vignette provides links to videos demonstrating some of the functionalities of CytoPipeline R package suite. It is distributed, as well as the accompanying videos, under a CC BY-SA license.
CytoPipeline 1.4.0
## R version 4.4.0 beta (2024-04-15 r86425)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 22.04.4 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.19-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
## [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_1.2.0 CytoPipelineGUI_1.2.0 CytoPipeline_1.4.0
## [4] BiocStyle_2.32.0
##
## loaded via a namespace (and not attached):
## [1] DBI_1.2.2 gridExtra_2.3 rlang_1.1.3
## [4] magrittr_2.0.3 clue_0.3-65 GetoptLong_1.0.5
## [7] matrixStats_1.3.0 compiler_4.4.0 RSQLite_2.3.6
## [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_1.5.2 fastmap_1.1.1 magick_2.8.3
## [19] dbplyr_2.5.0 labeling_0.4.3 utf8_1.2.4
## [22] promises_1.3.0 ncdfFlow_2.50.0 rmarkdown_2.26
## [25] graph_1.82.0 tinytex_0.50 purrr_1.0.2
## [28] bit_4.0.5 xfun_0.43 zlibbioc_1.50.0
## [31] cachem_1.0.8 jsonlite_1.8.8 flowWorkspace_4.16.0
## [34] blob_1.2.4 highr_0.10 later_1.3.2
## [37] parallel_4.4.0 cluster_2.1.6 R6_2.5.1
## [40] bslib_0.7.0 stringi_1.8.3 RColorBrewer_1.1-3
## [43] jquerylib_0.1.4 Rcpp_1.0.12 bookdown_0.39
## [46] iterators_1.0.14 knitr_1.46 zoo_1.8-12
## [49] IRanges_2.38.0 flowCore_2.16.0 httpuv_1.6.15
## [52] tidyselect_1.2.1 yaml_2.3.8 doParallel_1.0.17
## [55] codetools_0.2-20 curl_5.2.1 lattice_0.22-6
## [58] tibble_3.2.1 plyr_1.8.9 Biobase_2.64.0
## [61] shiny_1.8.1.1 withr_3.0.0 evaluate_0.23
## [64] BiocFileCache_2.12.0 circlize_0.4.16 pillar_1.9.0
## [67] BiocManager_1.30.22 filelock_1.0.3 foreach_1.5.2
## [70] flowAI_1.34.0 stats4_4.4.0 generics_0.1.3
## [73] diagram_1.6.5 S4Vectors_0.42.0 ggplot2_3.5.1
## [76] munsell_0.5.1 ggcyto_1.32.0 scales_1.3.0
## [79] xtable_1.8-4 PeacoQC_1.14.0 glue_1.7.0
## [82] changepoint_2.2.4 tools_4.4.0 hexbin_1.28.3
## [85] data.table_1.15.4 XML_3.99-0.16.1 grid_4.4.0
## [88] RProtoBufLib_2.16.0 colorspace_2.1-0 cli_3.6.2
## [91] fansi_1.0.6 cytolib_2.16.0 ComplexHeatmap_2.20.0
## [94] dplyr_1.1.4 Rgraphviz_2.48.0 gtable_0.3.5
## [97] sass_0.4.9 digest_0.6.35 BiocGenerics_0.50.0
## [100] farver_2.1.1 rjson_0.2.21 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_4.0.5