Package: RCAS 1.33.0
RCAS: RNA Centric Annotation System
RCAS is an R/Bioconductor package designed as a generic reporting tool for the functional analysis of transcriptome-wide regions of interest detected by high-throughput experiments. Such transcriptomic regions could be, for instance, signal peaks detected by CLIP-Seq analysis for protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome), CAGE-tag locations, or any other collection of query regions at the level of the transcriptome. RCAS produces in-depth annotation summaries and coverage profiles based on the distribution of the query regions with respect to transcript features (exons, introns, 5'/3' UTR regions, exon-intron boundaries, promoter regions). Moreover, RCAS can carry out functional enrichment analyses and discriminative motif discovery.
Authors:
RCAS_1.33.0.tar.gz
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RCAS_1.33.0.tgz(r-4.4-any)RCAS_1.33.0.tgz(r-4.3-any)
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RCAS.pdf |RCAS.html✨
RCAS/json (API)
NEWS
# Install 'RCAS' in R: |
install.packages('RCAS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- gff - Sample GFF file imported as a GRanges object
- queryRegions - Sample BED file imported as a GRanges object
On BioConductor:RCAS-1.33.0(bioc 3.21)RCAS-1.32.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
softwaregenetargetmotifannotationmotifdiscoverygotranscriptomicsgenomeannotationgenesetenrichmentcoverage
Last updated 2 months agofrom:44fd9776ff. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 30 2024 |
R-4.5-win | OK | Nov 30 2024 |
R-4.5-linux | OK | Nov 30 2024 |
R-4.4-win | OK | Nov 30 2024 |
R-4.4-mac | OK | Nov 30 2024 |
R-4.3-win | OK | Nov 30 2024 |
R-4.3-mac | OK | Nov 30 2024 |
Exports:calculateCoverageProfilecalculateCoverageProfileFromTxdbcalculateCoverageProfileListcalculateCoverageProfileListFromTxdbcheckSeqDbcreateControlRegionscreateDBcreateOrthologousGeneSetListdeleteSampleDataFromDBdiscoverFeatureSpecificMotifsextractSequencesfindDifferentialMotifsfindEnrichedFunctionsgenerateKmersgetFeatureBoundaryCoveragegetFeatureBoundaryCoverageBingetFeatureBoundaryCoverageMultigetIntervalOverlapMatrixgetMotifSummaryTablegetPWMgetTargetedGenesTablegetTxdbFeaturesgetTxdbFeaturesFromGRangesimportBedimportBedFilesimportGtfparseMsigdbplotFeatureBoundaryCoverageprintMsigdbDatasetqueryGffretrieveOrthologsrunGSEArunMotifDiscoveryrunMotifRGrunReportrunReportMetaAnalysisrunTopGOsummarizeDatabaseContentsummarizeQueryRegionssummarizeQueryRegionsMulti
Dependencies:abindAnnotationDbiaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbitbit64bitopsblobBSgenomeBSgenome.Hsapiens.UCSC.hg19bslibcachemclicliprcodetoolscolorspacecowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydigestdplyrDTevaluatefansifarverfastmapfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsgenomationGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegprofiler2gridBasegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvhttrhttr2imputeIRangesisobandjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglambda.rlaterlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpbapplypheatmappillarpkgconfigplogrplotlyplotrixplyrpngprettyunitsprogresspromisesproxypurrrR6rangerrappdirsRColorBrewerRcppRcppEigenRCurlreadrreshape2restfulrRhtslibrjsonrlangrmarkdownRsamtoolsRSQLitertracklayerS4ArraysS4VectorssassscalesseqLogoseqPatternsnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselecttinytextxdbmakertzdbUCSC.utilsutf8vctrsviridisLitevroomwithrxfunXMLxml2XVectoryamlzlibbioc
How to do meta-analysis of CLIP-seq peaks from multiple samples with RCAS
Rendered fromRCAS.metaAnalysis.vignette.Rmd
usingknitr::rmarkdown
on Nov 30 2024.Last update: 2024-02-04
Started: 2018-02-26
The RNA Centric Analysis System Report
Rendered fromRCAS.vignette.Rmd
usingknitr::rmarkdown
on Nov 30 2024.Last update: 2024-03-20
Started: 2016-04-19