Package: HighlyReplicatedRNASeq 1.25.0
HighlyReplicatedRNASeq: Collection of Bulk RNA-Seq Experiments With Many Replicates
Gene-level count matrix data for bulk RNA-seq dataset with many replicates. The data are provided as easy to use SummarizedExperiment objects. The source data that is made accessible through this package comes from https://github.com/bartongroup/profDGE48.
Authors:
HighlyReplicatedRNASeq_1.25.0.tar.gz
HighlyReplicatedRNASeq_1.25.0.tar.gz(r-4.7-any)HighlyReplicatedRNASeq_1.25.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
HighlyReplicatedRNASeq/json (API)
| # Install 'HighlyReplicatedRNASeq' in R: |
| install.packages('HighlyReplicatedRNASeq', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/const-ae/highlyreplicatedrnaseq/issues
On BioConductor:HighlyReplicatedRNASeq-1.25.0(data/experiment 3.24)HighlyReplicatedRNASeq-1.24.0(data/experiment 3.23)
experimenthubexperimentdataexpressiondatasequencingdatarnaseqdatadatapkg
Last updated from:3999d3f7b6. 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 | 149 | ||
| linux-devel | NOTE | 372 | ||
| source / vignettes | OK | 275 | ||
| linux-release | NOTE | 321 |
Exports:Schurch16Schurch16_metadata
Dependencies:abindAnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrDelayedArraydplyrExperimentHubfastmapfilelockgenericsGenomicRangesgluehttrhttr2IRangesjsonliteKEGGRESTlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsrlangRSQLiteS4ArraysS4VectorsSeqinfoSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrswithrXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| HighlyReplicatedRNASeq: Collection of Bulk RNA-Seq Experiments With Many Replicates | HighlyReplicatedRNASeq |
| Get the RNA-seq counts from Schurch et al. (2016) | Schurch16 Schurch16_metadata |