Package: ReactomeGSA.data 1.26.0

Johannes Griss

ReactomeGSA.data: Companion data package for the ReactomeGSA package

Companion data sets to showcase the functionality of the ReactomeGSA package. This package contains proteomics and RNA-seq data of the melanoma B-cell induction study by Griss et al. and scRNA-seq data from Jerby-Arnon et al.

Authors:Johannes Griss [aut, cre]

ReactomeGSA.data_1.26.0.tar.gz
ReactomeGSA.data_1.26.0.tar.gz(r-4.7-any)ReactomeGSA.data_1.26.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ReactomeGSA.data/json (API)

# Install 'ReactomeGSA.data' in R:

install.packages('ReactomeGSA.data', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/reactome/reactomegsa.data/issues

Datasets:

griss_melanoma_proteomics - Proteomics intensity-based quantitation data from the B-Cell melanoma induction study by Griss et al.
griss_melanoma_result - Example Camera result created based on the melanoma induction study by Griss et al.
griss_melanoma_rnaseq - Raw RNA-seq read counts from the B-Cell melanoma induction study by Griss et al.
jerby_b_cells - Example Seurat object containing B cells extracted from the single-cell RNA-seq dataset published by Jerby-Arnon et al.

On BioConductor:ReactomeGSA.data-1.27.0(data/experiment 3.24)ReactomeGSA.data-1.26.0(data/experiment 3.23)

expressiondata rnaseqdata proteome homo_sapiens_data datapkg

4.85 score 1 stars 89 scripts 4 mentions 0 exports 175 dependencies

Last updated from:d2acb2b2bf (on RELEASE_3_23). Checks:1 ERROR, 2 WARNING, 1 OK. Indexed: no.

This is a data package. Data packages may be large and do not get checked across all platforms.

Target	Result	Time
bioc-checks	ERROR	175
linux-devel	WARNING	298
source / vignettes	OK	345
linux-release	WARNING	232

Exports:

Dependencies:abind askpass assorthead base64enc beachmat BH Biobase BiocGenerics BiocParallel BiocSingular bitops bslib cachem caTools cli cluster codetools commonmark cowplot cpp11 crayon crosstalk curl data.table DelayedArray deldir digest dotCall64 dplyr dqrng edgeR evaluate farver fastDummies fastmap fitdistrplus FNN fontawesome formatR fs futile.logger futile.options future future.apply generics GenomicRanges ggplot2 ggrepel ggridges globals glue goftest gplots gridExtra gtable gtools here highr hms htmltools htmlwidgets httpuv httr ica igraph IRanges irlba isoband jquerylib jsonlite KernSmooth knitr labeling lambda.r later lattice lazyeval lifecycle limma listenv lmtest locfit magrittr MASS Matrix MatrixGenerics matrixStats memoise mime miniUI nlme openssl otel parallelly patchwork pbapply pillar pkgconfig plotly plyr png polyclip prettyunits progress progressr promises purrr R6 RANN rappdirs RColorBrewer Rcpp RcppAnnoy RcppArmadillo RcppEigen RcppHNSW RcppProgress RcppThread RcppTOML ReactomeGSA reshape2 reticulate rlang rmarkdown ROCR rprojroot RSpectra rsvd Rtsne S4Arrays S4Vectors S7 sass ScaledMatrix scales scattermore sctransform Seqinfo Seurat SeuratObject shiny sitmo snow sourcetools sp spam SparseArray spatstat.data spatstat.explore spatstat.geom spatstat.random spatstat.sparse spatstat.univar spatstat.utils statmod stringi stringr SummarizedExperiment survival sys tensor tibble tidyr tidyselect tinytex utf8 uwot vctrs viridisLite withr xfun xtable XVector yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Proteomics intensity-based quantitation data from the B-Cell melanoma induction study by Griss et al.	griss_melanoma_proteomics
Example Camera result created based on the melanoma induction study by Griss et al.	griss_melanoma_result
Raw RNA-seq read counts from the B-Cell melanoma induction study by Griss et al.	griss_melanoma_rnaseq
Example Seurat object containing B cells extracted from the single-cell RNA-seq dataset published by Jerby-Arnon et al.	jerby_b_cells