Authors: Jean-Philippe Fortin
Date: Sept 12, 2022
crisprDesignAux
This package is supported for macOS, Linux and Windows machines. It was developed and tested on R version 4.2.1
crisprDesignAux can be installed from the Bioconductor devel branch by
typing the following commands inside of an R session:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(version="devel")
BiocManager::install("crisprDesignAux")The complete documentation for the package can be found here.
We load crisprDesignAux in the usual way:
library(crisprDesignAux)## Warning: multiple methods tables found for 'aperm'
## Warning: replacing previous import 'BiocGenerics::aperm' by
## 'DelayedArray::aperm' when loading 'SummarizedExperiment'
The project as a whole is covered by the MIT license.
sessionInfo()## R version 4.2.1 (2022-06-23)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Catalina 10.15.7
##
## 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
##
## other attached packages:
## [1] crisprDesignAux_1.3.15
##
## loaded via a namespace (and not attached):
## [1] bitops_1.0-7 matrixStats_0.62.0
## [3] bit64_4.0.5 filelock_1.0.2
## [5] progress_1.2.2 httr_1.4.4
## [7] GenomeInfoDb_1.33.7 tools_4.2.1
## [9] utf8_1.2.2 R6_2.5.1
## [11] DBI_1.1.3 BiocGenerics_0.43.4
## [13] tidyselect_1.1.2 prettyunits_1.1.1
## [15] bit_4.0.4 curl_4.3.2
## [17] compiler_4.2.1 crisprBowtie_1.1.1
## [19] cli_3.4.0 crisprDesign_0.99.150
## [21] Biobase_2.57.1 basilisk.utils_1.9.3
## [23] crisprScoreData_1.1.3 xml2_1.3.3
## [25] DelayedArray_0.23.1 rtracklayer_1.57.0
## [27] randomForest_4.7-1.1 readr_2.1.2
## [29] rappdirs_0.3.3 stringr_1.4.1
## [31] digest_0.6.29 Rsamtools_2.13.4
## [33] rmarkdown_2.16 crisprScore_1.1.15
## [35] basilisk_1.9.6 XVector_0.37.1
## [37] pkgconfig_2.0.3 htmltools_0.5.3
## [39] MatrixGenerics_1.9.1 dbplyr_2.2.1
## [41] fastmap_1.1.0 BSgenome_1.65.2
## [43] rlang_1.0.5 rstudioapi_0.14
## [45] RSQLite_2.2.16 shiny_1.7.2
## [47] BiocIO_1.7.1 generics_0.1.3
## [49] jsonlite_1.8.0 BiocParallel_1.31.12
## [51] dplyr_1.0.10 VariantAnnotation_1.43.3
## [53] RCurl_1.98-1.8 magrittr_2.0.3
## [55] GenomeInfoDbData_1.2.8 Matrix_1.4-1
## [57] Rcpp_1.0.9 S4Vectors_0.35.3
## [59] fansi_1.0.3 reticulate_1.26
## [61] Rbowtie_1.37.0 lifecycle_1.0.1
## [63] stringi_1.7.8 yaml_2.3.5
## [65] SummarizedExperiment_1.27.2 zlibbioc_1.43.0
## [67] BiocFileCache_2.5.0 AnnotationHub_3.5.1
## [69] grid_4.2.1 blob_1.2.3
## [71] promises_1.2.0.1 parallel_4.2.1
## [73] ExperimentHub_2.5.0 crayon_1.5.1
## [75] dir.expiry_1.5.1 lattice_0.20-45
## [77] Biostrings_2.65.3 GenomicFeatures_1.49.6
## [79] hms_1.1.2 KEGGREST_1.37.3
## [81] knitr_1.40 pillar_1.8.1
## [83] GenomicRanges_1.49.1 rjson_0.2.21
## [85] codetools_0.2-18 biomaRt_2.53.2
## [87] stats4_4.2.1 BiocVersion_3.16.0
## [89] XML_3.99-0.10 glue_1.6.2
## [91] evaluate_0.16 BiocManager_1.30.18
## [93] httpuv_1.6.5 png_0.1-7
## [95] vctrs_0.4.1 tzdb_0.3.0
## [97] purrr_0.3.4 assertthat_0.2.1
## [99] cachem_1.0.6 xfun_0.32
## [101] mime_0.12 xtable_1.8-4
## [103] restfulr_0.0.15 later_1.3.0
## [105] tibble_3.1.8 GenomicAlignments_1.33.1
## [107] AnnotationDbi_1.59.1 memoise_2.0.1
## [109] IRanges_2.31.2 crisprBase_1.1.5
## [111] interactiveDisplayBase_1.35.0 ellipsis_0.3.2