Package: MouseAgingData 1.9.0
MouseAgingData: Multi-omics data access for studies investigating the effects of aging
The MouseAgingData package provides analysis-ready data resources from different studies focused on aging and rejuvenation in mice. The package currently provides two 10x Genomics single-cell RNA-seq datasets. The first study profiled the aging mouse brain measured across 37,089 cells (Ximerakis et al., 2019). The second study investigated parabiosis by profiling a total of 105,329 cells (Ximerakis & Holton et al., 2023). The datasets are provided as SingleCellExperiment objects and provide raw UMI counts and cell metadata.
Authors:
MouseAgingData_1.9.0.tar.gz
MouseAgingData_1.9.0.tar.gz(r-4.7-any)MouseAgingData_1.9.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MouseAgingData/json (API)
| # Install 'MouseAgingData' in R: |
| install.packages('MouseAgingData', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ccb-hms/mouseagingdata/issues
On BioConductor:MouseAgingData-1.9.0(data/experiment 3.24)MouseAgingData-1.8.0(data/experiment 3.23)
experimentdataexpressiondatasequencingdatarnaseqdatasinglecelldataexperimenthubpackagetypedatamus_musculus_datadatapkg
Last updated from:7613b516bf. Checks:3 NOTE, 1 OK. Indexed: yes.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 167 | ||
| linux-devel | NOTE | 327 | ||
| source / vignettes | OK | 281 | ||
| linux-release | NOTE | 349 |
Exports:AgingBrain10xparabiosis10x
Dependencies:abindAnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrDelayedArraydplyrExperimentHubfastmapfilelockgenericsGenomicRangesgluehttrhttr2IRangesjsonliteKEGGRESTlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsrlangRSQLiteS4ArraysS4VectorsSeqinfoSingleCellExperimentSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrswithrXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Load mouse 2019 Nature Neuroscience aging brain data | AgingBrain10x |
| Load mouse aging parabiosis data | parabiosis10x |
