1 Basics

1.1 Install chevreulProcess

R is an open-source statistical environment which can be easily modified to enhance its functionality via packages. chevreulProcess is a R package available via the Bioconductor repository for packages. R can be installed on any operating system from CRAN after which you can install chevreulProcess by using the following commands in your R session:

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

BiocManager::install("chevreulProcess")

1.2 Required knowledge

The chevreulProcess package is designed for single-cell RNA sequencing data. The functions included within this package are derived from other packages that have implemented the infrastructure needed for RNA-seq data processing and analysis. Packages that have been instrumental in the development of chevreulProcess include, Biocpkg("SummarizedExperiment") and Biocpkg("scater").

1.3 Asking for help

R and Bioconductor have a steep learning curve so it is critical to learn where to ask for help. The Bioconductor support site is the main resource for getting help: remember to use the chevreulProcess tag and check the older posts.

2 Quick start to using chevreulProcess

The chevreulProcess package contains functions to preprocess, cluster, visualize, and perform other analyses on scRNA-seq data. It also contains a shiny app for easy visualization and analysis of scRNA data.

chvereul uses SingelCellExperiment (SCE) object type (from SingleCellExperiment) to store expression and other metadata from single-cell experiments.

This package features functions capable of:

  • Performing Clustering at a range of resolutions and Dimensional reduction of Raw Sequencing Data.
  • Visualizing scRNA data using different plotting functions.
  • Integration of multiple datasets for consistent analyses.
  • Cell cycle state regression and labeling.

library("chevreulProcess")

# Load the data
data("small_example_dataset")

R session information.

#> R version 4.6.0 Patched (2026-05-01 r89994)
#> Platform: aarch64-apple-darwin23
#> Running under: macOS Tahoe 26.3.1
#> 
#> Matrix products: default
#> BLAS:   /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRblas.0.dylib 
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.6/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1
#> 
#> locale:
#> [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#> 
#> time zone: America/New_York
#> tzcode source: internal
#> 
#> attached base packages:
#> [1] stats4    stats     graphics  grDevices utils     datasets  methods  
#> [8] base     
#> 
#> other attached packages:
#>  [1] chevreulProcess_1.5.0       scater_1.41.1              
#>  [3] ggplot2_4.0.3               scuttle_1.23.1             
#>  [5] SingleCellExperiment_1.35.1 SummarizedExperiment_1.43.0
#>  [7] Biobase_2.73.1              GenomicRanges_1.65.0       
#>  [9] Seqinfo_1.3.0               IRanges_2.47.1             
#> [11] S4Vectors_0.51.2            BiocGenerics_0.59.2        
#> [13] generics_0.1.4              MatrixGenerics_1.25.0      
#> [15] matrixStats_1.5.0           BiocStyle_2.41.0           
#> 
#> loaded via a namespace (and not attached):
#>   [1] RColorBrewer_1.1-3        jsonlite_2.0.0           
#>   [3] shape_1.4.6.1             magrittr_2.0.5           
#>   [5] ggbeeswarm_0.7.3          GenomicFeatures_1.65.0   
#>   [7] farver_2.1.2              rmarkdown_2.31           
#>   [9] GlobalOptions_0.1.4       fs_2.1.0                 
#>  [11] BiocIO_1.23.3             vctrs_0.7.3              
#>  [13] memoise_2.0.1             Rsamtools_2.29.0         
#>  [15] DelayedMatrixStats_1.35.0 RCurl_1.98-1.18          
#>  [17] htmltools_0.5.9           S4Arrays_1.13.0          
#>  [19] BiocBaseUtils_1.15.1      curl_7.1.0               
#>  [21] BiocNeighbors_2.7.2       SparseArray_1.13.2       
#>  [23] sass_0.4.10               bslib_0.11.0             
#>  [25] cachem_1.1.0              ResidualMatrix_1.23.0    
#>  [27] GenomicAlignments_1.49.0  igraph_2.3.1             
#>  [29] lifecycle_1.0.5           pkgconfig_2.0.3          
#>  [31] rsvd_1.0.5                Matrix_1.7-5             
#>  [33] R6_2.6.1                  fastmap_1.2.0            
#>  [35] digest_0.6.39             colorspace_2.1-2         
#>  [37] AnnotationDbi_1.75.0      dqrng_0.4.1              
#>  [39] irlba_2.3.7               RSQLite_3.52.0           
#>  [41] beachmat_2.29.0           httr_1.4.8               
#>  [43] abind_1.4-8               compiler_4.6.0           
#>  [45] bit64_4.8.0               withr_3.0.2              
#>  [47] S7_0.2.2                  BiocParallel_1.47.0      
#>  [49] viridis_0.6.5             DBI_1.3.0                
#>  [51] DelayedArray_0.39.2       rjson_0.2.23             
#>  [53] bluster_1.23.0            tools_4.6.0              
#>  [55] vipor_0.4.7               otel_0.2.0               
#>  [57] beeswarm_0.4.0            glue_1.8.1               
#>  [59] restfulr_0.0.16           batchelor_1.29.0         
#>  [61] grid_4.6.0                cluster_2.1.8.2          
#>  [63] megadepth_1.23.0          gtable_0.3.6             
#>  [65] tzdb_0.5.0                ensembldb_2.37.0         
#>  [67] hms_1.1.4                 metapod_1.21.0           
#>  [69] BiocSingular_1.29.0       ScaledMatrix_1.21.0      
#>  [71] XVector_0.53.0            stringr_1.6.0            
#>  [73] ggrepel_0.9.8             pillar_1.11.1            
#>  [75] limma_3.69.0              circlize_0.4.18          
#>  [77] dplyr_1.2.1               lattice_0.22-9           
#>  [79] rtracklayer_1.73.0        bit_4.6.0                
#>  [81] tidyselect_1.2.1          locfit_1.5-9.12          
#>  [83] Biostrings_2.81.1         knitr_1.51               
#>  [85] gridExtra_2.3             bookdown_0.46            
#>  [87] ProtGenerics_1.45.0       edgeR_4.11.0             
#>  [89] cmdfun_1.0.2              xfun_0.57                
#>  [91] statmod_1.5.2             stringi_1.8.7            
#>  [93] UCSC.utils_1.9.0          EnsDb.Hsapiens.v86_2.99.0
#>  [95] lazyeval_0.2.3            yaml_2.3.12              
#>  [97] evaluate_1.0.5            codetools_0.2-20         
#>  [99] cigarillo_1.3.0           tibble_3.3.1             
#> [101] BiocManager_1.30.27       cli_3.6.6                
#> [103] jquerylib_0.1.4           dichromat_2.0-0.1        
#> [105] Rcpp_1.1.1-1.1            GenomeInfoDb_1.49.0      
#> [107] png_0.1-9                 XML_3.99-0.23            
#> [109] parallel_4.6.0            readr_2.2.0              
#> [111] blob_1.3.0                AnnotationFilter_1.37.0  
#> [113] scran_1.41.0              sparseMatrixStats_1.25.0 
#> [115] bitops_1.0-9              viridisLite_0.4.3        
#> [117] scales_1.4.0              purrr_1.2.2              
#> [119] crayon_1.5.3              rlang_1.2.0              
#> [121] KEGGREST_1.53.0