1 Installation and getting started

The crisprVerse is a collection of packages for CRISPR guide RNA (gRNA) design that can easily be installed with the crisprVerse package. This provides a convenient way of downloading and installing all crisprVerse packages with a single R command.

The package can be installed from the Bioconductor devel branch using the following commands in an R session:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install(version="devel")
BiocManager::install("crisprVerse")

The core crisprVerse includes the packages that are commonly used for gRNA design, and are attached when you attach the crisprVerse package:

library(crisprVerse)

You can check that all crisprVerse packages are up-to-date with the function crisprVerse_update().

2 Components

The following packages are installed and loaded with the crisprVerse package:

3 Reproducibility

sessionInfo()
## R version 4.5.1 (2025-06-13 ucrt)
## Platform: x86_64-w64-mingw32/x64
## Running under: Windows Server 2022 x64 (build 20348)
## 
## Matrix products: default
##   LAPACK version 3.12.1
## 
## locale:
## [1] LC_COLLATE=C                          
## [2] LC_CTYPE=English_United States.utf8   
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.utf8    
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] crisprViz_1.11.0       crisprDesign_1.11.1    crisprScore_1.13.1    
##  [4] crisprScoreData_1.13.0 ExperimentHub_2.99.5   AnnotationHub_3.99.6  
##  [7] BiocFileCache_2.99.5   dbplyr_2.5.0           BiocGenerics_0.55.0   
## [10] generics_0.1.4         crisprBowtie_1.13.0    crisprBase_1.13.0     
## [13] crisprVerse_1.11.0     BiocStyle_2.37.0      
## 
## loaded via a namespace (and not attached):
##   [1] RColorBrewer_1.1-3          rstudioapi_0.17.1          
##   [3] jsonlite_2.0.0              magrittr_2.0.3             
##   [5] GenomicFeatures_1.61.4      farver_2.1.2               
##   [7] rmarkdown_2.29              BiocIO_1.19.0              
##   [9] vctrs_0.6.5                 memoise_2.0.1              
##  [11] Rsamtools_2.25.1            RCurl_1.98-1.17            
##  [13] base64enc_0.1-3             htmltools_0.5.8.1          
##  [15] S4Arrays_1.9.1              progress_1.2.3             
##  [17] curl_6.4.0                  SparseArray_1.9.1          
##  [19] Formula_1.2-5               sass_0.4.10                
##  [21] bslib_0.9.0                 htmlwidgets_1.6.4          
##  [23] basilisk_1.21.5             Gviz_1.53.1                
##  [25] httr2_1.2.0                 cachem_1.1.0               
##  [27] GenomicAlignments_1.45.1    lifecycle_1.0.4            
##  [29] pkgconfig_2.0.3             Matrix_1.7-3               
##  [31] R6_2.6.1                    fastmap_1.2.0              
##  [33] MatrixGenerics_1.21.0       digest_0.6.37              
##  [35] colorspace_2.1-1            AnnotationDbi_1.71.0       
##  [37] S4Vectors_0.47.0            Hmisc_5.2-3                
##  [39] GenomicRanges_1.61.1        RSQLite_2.4.1              
##  [41] filelock_1.0.3              randomForest_4.7-1.2       
##  [43] httr_1.4.7                  abind_1.4-8                
##  [45] compiler_4.5.1              Rbowtie_1.49.0             
##  [47] bit64_4.6.0-1               backports_1.5.0            
##  [49] htmlTable_2.4.3             BiocParallel_1.43.4        
##  [51] DBI_1.2.3                   biomaRt_2.65.0             
##  [53] rappdirs_0.3.3              DelayedArray_0.35.2        
##  [55] rjson_0.2.23                tools_4.5.1                
##  [57] foreign_0.8-90              nnet_7.3-20                
##  [59] glue_1.8.0                  restfulr_0.0.16            
##  [61] grid_4.5.1                  checkmate_2.3.2            
##  [63] cluster_2.1.8.1             gtable_0.3.6               
##  [65] BSgenome_1.77.1             tzdb_0.5.0                 
##  [67] ensembldb_2.33.1            data.table_1.17.8          
##  [69] hms_1.1.3                   xml2_1.3.8                 
##  [71] XVector_0.49.0              BiocVersion_3.22.0         
##  [73] pillar_1.11.0               stringr_1.5.1              
##  [75] dplyr_1.1.4                 lattice_0.22-7             
##  [77] deldir_2.0-4                rtracklayer_1.69.1         
##  [79] bit_4.6.0                   biovizBase_1.57.1          
##  [81] tidyselect_1.2.1            Biostrings_2.77.2          
##  [83] knitr_1.50                  gridExtra_2.3              
##  [85] bookdown_0.43               ProtGenerics_1.41.0        
##  [87] IRanges_2.43.0              Seqinfo_0.99.1             
##  [89] SummarizedExperiment_1.39.1 stats4_4.5.1               
##  [91] xfun_0.52                   Biobase_2.69.0             
##  [93] matrixStats_1.5.0           stringi_1.8.7              
##  [95] UCSC.utils_1.5.0            lazyeval_0.2.2             
##  [97] yaml_2.3.10                 evaluate_1.0.4             
##  [99] codetools_0.2-20            interp_1.1-6               
## [101] tibble_3.3.0                BiocManager_1.30.26        
## [103] cli_3.6.5                   rpart_4.1.24               
## [105] reticulate_1.42.0           jquerylib_0.1.4            
## [107] dichromat_2.0-0.1           Rcpp_1.1.0                 
## [109] GenomeInfoDb_1.45.8         dir.expiry_1.17.0          
## [111] png_0.1-8                   XML_3.99-0.18              
## [113] parallel_4.5.1              ggplot2_3.5.2              
## [115] readr_2.1.5                 blob_1.2.4                 
## [117] prettyunits_1.2.0           jpeg_0.1-11                
## [119] latticeExtra_0.6-30         AnnotationFilter_1.33.0    
## [121] bitops_1.0-9                txdbmaker_1.5.6            
## [123] VariantAnnotation_1.55.1    scales_1.4.0               
## [125] crayon_1.5.3                rlang_1.1.6                
## [127] KEGGREST_1.49.1