systemPipeR 2.19.8
The
systemPipeRdata
package provides a collection of pre-built workflow templates that are ready to
use from
systemPipeR.
These templates are described in detail in the associated systemPipeRdata
overview vignette
here,
which includes instructions on how to use them.
This project is funded by awards from the National Science Foundation (ABI-1661152), and the National Institute on Aging of the National Institutes of Health (U19AG023122).
sessionInfo()
## R version 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.5 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.24-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0 LAPACK version 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] stats4 stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] magrittr_2.0.5 systemPipeR_2.19.8 ShortRead_1.71.1
## [4] GenomicAlignments_1.49.2 BiocParallel_1.47.0 Rsamtools_2.29.0
## [7] Biostrings_2.81.9 XVector_0.53.0 GenomicRanges_1.65.4
## [10] IRanges_2.47.5 S4Vectors_0.51.10 Seqinfo_1.3.2
## [13] BiocGenerics_0.59.12 generics_0.1.4 BiocStyle_2.41.0
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.2.1 viridisLite_0.4.3
## [3] dplyr_1.2.1 farver_2.1.2
## [5] S7_0.2.2 bitops_1.1-0
## [7] fastmap_1.2.0 digest_0.6.39
## [9] lifecycle_1.0.5 pwalign_1.9.1
## [11] compiler_4.6.1 rlang_1.3.0
## [13] sass_0.4.10 tools_4.6.1
## [15] yaml_2.3.12 knitr_1.52
## [17] S4Arrays_1.13.2 labeling_0.4.3
## [19] htmlwidgets_1.6.4 interp_1.1-6
## [21] DelayedArray_0.39.8 xml2_1.6.0
## [23] RColorBrewer_1.1-3 abind_1.4-8
## [25] withr_3.0.3 hwriter_1.3.2.1
## [27] grid_4.6.1 latticeExtra_0.6-31
## [29] ggplot2_4.0.3 scales_1.4.0
## [31] dichromat_2.0-1 tinytex_0.61
## [33] SummarizedExperiment_1.43.0 cli_3.6.6
## [35] rmarkdown_2.32 crayon_1.5.3
## [37] otel_0.2.0 rstudioapi_0.19.0
## [39] cachem_1.1.0 stringr_1.6.0
## [41] parallel_4.6.1 formatR_1.14
## [43] BiocManager_1.30.27 matrixStats_1.5.0
## [45] vctrs_0.7.3 Matrix_1.7-6
## [47] jsonlite_2.0.0 bookdown_0.48
## [49] systemfonts_1.3.2 jpeg_0.1-11
## [51] magick_2.9.1 crosstalk_1.2.2
## [53] jquerylib_0.1.4 glue_1.8.1
## [55] codetools_0.2-20 DT_0.34.0
## [57] stringi_1.8.9 gtable_0.3.6
## [59] deldir_2.0-4 tibble_3.3.1
## [61] pillar_1.11.1 htmltools_0.5.9
## [63] R6_2.6.1 textshaping_1.0.5
## [65] evaluate_1.0.5 kableExtra_1.4.1
## [67] lattice_0.23-1 Biobase_2.73.2
## [69] png_0.1-9 cigarillo_1.3.1
## [71] bslib_0.12.0 Rcpp_1.1.2
## [73] svglite_2.2.2 SparseArray_1.13.4
## [75] xfun_0.62 MatrixGenerics_1.25.0
## [77] pkgconfig_2.0.3