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:
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")
.
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.
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:
R
session information.
#> R version 4.4.3 (2025-02-28)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 24.04.2 LTS
#>
#> Matrix products: default
#> BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
#>
#> locale:
#> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
#> [3] LC_TIME=en_US.UTF-8 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: Etc/UTC
#> tzcode source: system (glibc)
#>
#> attached base packages:
#> [1] stats4 stats graphics grDevices utils datasets methods
#> [8] base
#>
#> other attached packages:
#> [1] chevreulProcess_0.99.27 scater_1.35.4
#> [3] ggplot2_3.5.1 scuttle_1.17.0
#> [5] SingleCellExperiment_1.29.2 SummarizedExperiment_1.37.0
#> [7] Biobase_2.67.0 GenomicRanges_1.59.1
#> [9] GenomeInfoDb_1.43.4 IRanges_2.41.3
#> [11] S4Vectors_0.45.4 BiocGenerics_0.53.6
#> [13] generics_0.1.3 MatrixGenerics_1.19.1
#> [15] matrixStats_1.5.0 BiocStyle_2.35.0
#>
#> loaded via a namespace (and not attached):
#> [1] sys_3.4.3 jsonlite_1.9.1
#> [3] shape_1.4.6.1 magrittr_2.0.3
#> [5] ggbeeswarm_0.7.2 GenomicFeatures_1.59.1
#> [7] rmarkdown_2.29 GlobalOptions_0.1.2
#> [9] fs_1.6.5 BiocIO_1.17.1
#> [11] vctrs_0.6.5 memoise_2.0.1
#> [13] Rsamtools_2.23.1 DelayedMatrixStats_1.29.1
#> [15] RCurl_1.98-1.16 htmltools_0.5.8.1
#> [17] S4Arrays_1.7.3 curl_6.2.1
#> [19] BiocNeighbors_2.1.3 SparseArray_1.7.6
#> [21] sass_0.4.9 bslib_0.9.0
#> [23] cachem_1.1.0 ResidualMatrix_1.17.0
#> [25] buildtools_1.0.0 GenomicAlignments_1.43.0
#> [27] igraph_2.1.4 lifecycle_1.0.4
#> [29] pkgconfig_2.0.3 rsvd_1.0.5
#> [31] Matrix_1.7-3 R6_2.6.1
#> [33] fastmap_1.2.0 GenomeInfoDbData_1.2.13
#> [35] digest_0.6.37 colorspace_2.1-1
#> [37] AnnotationDbi_1.69.0 dqrng_0.4.1
#> [39] irlba_2.3.5.1 RSQLite_2.3.9
#> [41] beachmat_2.23.7 httr_1.4.7
#> [43] abind_1.4-8 compiler_4.4.3
#> [45] bit64_4.6.0-1 withr_3.0.2
#> [47] BiocParallel_1.41.2 viridis_0.6.5
#> [49] DBI_1.2.3 DelayedArray_0.33.6
#> [51] rjson_0.2.23 bluster_1.17.0
#> [53] tools_4.4.3 vipor_0.4.7
#> [55] beeswarm_0.4.0 glue_1.8.0
#> [57] restfulr_0.0.15 batchelor_1.23.1
#> [59] grid_4.4.3 cluster_2.1.8.1
#> [61] megadepth_1.17.0 gtable_0.3.6
#> [63] tzdb_0.4.0 ensembldb_2.31.0
#> [65] hms_1.1.3 metapod_1.15.0
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#> [73] limma_3.63.9 circlize_0.4.16
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#> [83] knitr_1.49 gridExtra_2.3
#> [85] ProtGenerics_1.39.2 edgeR_4.5.9
#> [87] cmdfun_1.0.2 xfun_0.51
#> [89] statmod_1.5.0 stringi_1.8.4
#> [91] UCSC.utils_1.3.1 EnsDb.Hsapiens.v86_2.99.0
#> [93] lazyeval_0.2.2 yaml_2.3.10
#> [95] evaluate_1.0.3 codetools_0.2-20
#> [97] tibble_3.2.1 BiocManager_1.30.25
#> [99] cli_3.6.4 munsell_0.5.1
#> [101] jquerylib_0.1.4 Rcpp_1.0.14
#> [103] png_0.1-8 XML_3.99-0.18
#> [105] parallel_4.4.3 readr_2.1.5
#> [107] blob_1.2.4 AnnotationFilter_1.31.0
#> [109] scran_1.35.0 sparseMatrixStats_1.19.0
#> [111] bitops_1.0-9 viridisLite_0.4.2
#> [113] scales_1.3.0 purrr_1.0.4
#> [115] crayon_1.5.3 rlang_1.1.5
#> [117] KEGGREST_1.47.0