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 1.2.0
## R version 4.3.1 (2023-06-16)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.3 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.18-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_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_1.1.3 CytoPipelineGUI_1.0.0 CytoPipeline_1.2.0
## [4] BiocStyle_2.30.0
##
## loaded via a namespace (and not attached):
## [1] DBI_1.1.3 gridExtra_2.3 rlang_1.1.1
## [4] magrittr_2.0.3 clue_0.3-65 GetoptLong_1.0.5
## [7] matrixStats_1.0.0 compiler_4.3.1 RSQLite_2.3.1
## [10] png_0.1-8 vctrs_0.6.4 reshape2_1.4.4
## [13] stringr_1.5.0 pkgconfig_2.0.3 shape_1.4.6
## [16] crayon_1.5.2 fastmap_1.1.1 magick_2.8.1
## [19] dbplyr_2.3.4 ellipsis_0.3.2 labeling_0.4.3
## [22] utf8_1.2.4 promises_1.2.1 ncdfFlow_2.48.0
## [25] rmarkdown_2.25 graph_1.80.0 purrr_1.0.2
## [28] bit_4.0.5 xfun_0.40 zlibbioc_1.48.0
## [31] cachem_1.0.8 jsonlite_1.8.7 flowWorkspace_4.14.0
## [34] blob_1.2.4 later_1.3.1 parallel_4.3.1
## [37] cluster_2.1.4 R6_2.5.1 bslib_0.5.1
## [40] stringi_1.7.12 RColorBrewer_1.1-3 jquerylib_0.1.4
## [43] Rcpp_1.0.11 bookdown_0.36 iterators_1.0.14
## [46] knitr_1.44 zoo_1.8-12 IRanges_2.36.0
## [49] flowCore_2.14.0 httpuv_1.6.12 tidyselect_1.2.0
## [52] yaml_2.3.7 doParallel_1.0.17 codetools_0.2-19
## [55] curl_5.1.0 lattice_0.22-5 tibble_3.2.1
## [58] plyr_1.8.9 Biobase_2.62.0 shiny_1.7.5.1
## [61] withr_2.5.1 evaluate_0.22 BiocFileCache_2.10.0
## [64] circlize_0.4.15 pillar_1.9.0 BiocManager_1.30.22
## [67] filelock_1.0.2 foreach_1.5.2 flowAI_1.32.0
## [70] stats4_4.3.1 generics_0.1.3 diagram_1.6.5
## [73] S4Vectors_0.40.0 ggplot2_3.4.4 munsell_0.5.0
## [76] ggcyto_1.30.0 scales_1.2.1 xtable_1.8-4
## [79] PeacoQC_1.12.0 glue_1.6.2 changepoint_2.2.4
## [82] tools_4.3.1 hexbin_1.28.3 data.table_1.14.8
## [85] XML_3.99-0.14 grid_4.3.1 RProtoBufLib_2.14.0
## [88] colorspace_2.1-0 cli_3.6.1 fansi_1.0.5
## [91] cytolib_2.14.0 ComplexHeatmap_2.18.0 dplyr_1.1.3
## [94] Rgraphviz_2.46.0 gtable_0.3.4 sass_0.4.7
## [97] digest_0.6.33 BiocGenerics_0.48.0 farver_2.1.1
## [100] rjson_0.2.21 memoise_2.0.1 htmltools_0.5.6.1
## [103] lifecycle_1.0.3 httr_1.4.7 GlobalOptions_0.1.2
## [106] mime_0.12 bit64_4.0.5