S4Vectors
This is the development version of S4Vectors; for the stable release version, see S4Vectors.
Foundation of vector-like and list-like containers in Bioconductor
Bioconductor version: Development (3.23)
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
Author: Hervé Pagès [aut, cre], Michael Lawrence [aut], Patrick Aboyoun [aut], Aaron Lun [ctb], Beryl Kanali [ctb] (Converted vignettes from Sweave to RMarkdown)
Maintainer: Hervé Pagès <hpages.on.github at gmail.com>
Citation (from within R, enter
citation("S4Vectors")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("S4Vectors")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("S4Vectors")| A quick overview of the S4 class system | HTML | R Script |
| An Overview of the S4Vectors package | HTML | R Script |
| Rle Tips and Tricks | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataRepresentation, Infrastructure, Software |
| Version | 0.49.0 |
| In Bioconductor since | BioC 3.0 (R-3.1) (11 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.0.0), methods, utils, stats, stats4, BiocGenerics(>= 0.53.2) |
| Imports | |
| System Requirements | |
| URL | https://bioconductor.org/packages/S4Vectors |
| Bug Reports | https://github.com/Bioconductor/S4Vectors/issues |
See More
| Suggests | IRanges, GenomicRanges, SummarizedExperiment, Matrix, DelayedArray, ShortRead, graph, data.table, RUnit, BiocStyle, knitr |
| Linking To | |
| Enhances | |
| Depends On Me | Cardinal, CellMapper, Rcwl, updateObject, pd.ag, pd.aragene.1.0.st, pd.aragene.1.1.st, pd.ath1.121501, pd.barley1, pd.bovgene.1.0.st, pd.bovgene.1.1.st, pd.bovine, pd.bsubtilis, pd.cangene.1.0.st, pd.cangene.1.1.st, pd.canine, pd.canine.2, pd.celegans, pd.chicken, pd.chigene.1.0.st, pd.chigene.1.1.st, pd.chogene.2.0.st, pd.chogene.2.1.st, pd.citrus, pd.clariom.d.human, pd.clariom.s.human, pd.clariom.s.human.ht, pd.clariom.s.mouse, pd.clariom.s.mouse.ht, pd.clariom.s.rat, pd.clariom.s.rat.ht, pd.cotton, pd.cyngene.1.0.st, pd.cyngene.1.1.st, pd.cyrgene.1.0.st, pd.cyrgene.1.1.st, pd.cytogenetics.array, pd.drogene.1.0.st, pd.drogene.1.1.st, pd.drosgenome1, pd.drosophila.2, pd.e.coli.2, pd.ecoli, pd.ecoli.asv2, pd.elegene.1.0.st, pd.elegene.1.1.st, pd.equgene.1.0.st, pd.equgene.1.1.st, pd.felgene.1.0.st, pd.felgene.1.1.st, pd.fingene.1.0.st, pd.fingene.1.1.st, pd.genomewidesnp.5, pd.genomewidesnp.6, pd.guigene.1.0.st, pd.guigene.1.1.st, pd.hc.g110, pd.hg.focus, pd.hg.u133.plus.2, pd.hg.u133a, pd.hg.u133a.2, pd.hg.u133a.tag, pd.hg.u133b, pd.hg.u219, pd.hg.u95a, pd.hg.u95av2, pd.hg.u95b, pd.hg.u95c, pd.hg.u95d, pd.hg.u95e, pd.hg18.60mer.expr, pd.ht.hg.u133.plus.pm, pd.ht.hg.u133a, pd.ht.mg.430a, pd.hta.2.0, pd.hu6800, pd.huex.1.0.st.v2, pd.hugene.1.0.st.v1, pd.hugene.1.1.st.v1, pd.hugene.2.0.st, pd.hugene.2.1.st, pd.maize, pd.mapping250k.nsp, pd.mapping250k.sty, pd.mapping50k.hind240, pd.mapping50k.xba240, pd.margene.1.0.st, pd.margene.1.1.st, pd.medgene.1.0.st, pd.medgene.1.1.st, pd.medicago, pd.mg.u74a, pd.mg.u74av2, pd.mg.u74b, pd.mg.u74bv2, pd.mg.u74c, pd.mg.u74cv2, pd.mirna.1.0, pd.mirna.2.0, pd.mirna.3.0, pd.mirna.4.0, pd.moe430a, pd.moe430b, pd.moex.1.0.st.v1, pd.mogene.1.0.st.v1, pd.mogene.1.1.st.v1, pd.mogene.2.0.st, pd.mogene.2.1.st, pd.mouse430.2, pd.mouse430a.2, pd.mta.1.0, pd.mu11ksuba, pd.mu11ksubb, pd.nugo.hs1a520180, pd.nugo.mm1a520177, pd.ovigene.1.0.st, pd.ovigene.1.1.st, pd.pae.g1a, pd.plasmodium.anopheles, pd.poplar, pd.porcine, pd.porgene.1.0.st, pd.porgene.1.1.st, pd.rabgene.1.0.st, pd.rabgene.1.1.st, pd.rae230a, pd.rae230b, pd.raex.1.0.st.v1, pd.ragene.1.0.st.v1, pd.ragene.1.1.st.v1, pd.ragene.2.0.st, pd.ragene.2.1.st, pd.rat230.2, pd.rcngene.1.0.st, pd.rcngene.1.1.st, pd.rg.u34a, pd.rg.u34b, pd.rg.u34c, pd.rhegene.1.0.st, pd.rhegene.1.1.st, pd.rhesus, pd.rice, pd.rjpgene.1.0.st, pd.rjpgene.1.1.st, pd.rn.u34, pd.rta.1.0, pd.rusgene.1.0.st, pd.rusgene.1.1.st, pd.s.aureus, pd.soybean, pd.soygene.1.0.st, pd.soygene.1.1.st, pd.sugar.cane, pd.tomato, pd.u133.x3p, pd.vitis.vinifera, pd.wheat, pd.x.laevis.2, pd.x.tropicalis, pd.xenopus.laevis, pd.yeast.2, pd.yg.s98, pd.zebgene.1.0.st, pd.zebgene.1.1.st, pd.zebrafish, curatedPCaData, scATAC.Explorer, generegulation |
| Imports Me | alabaster.base, BiocIO, bluster, CardinalIO, CTDquerier, DFplyr, EnrichDO, ExploreModelMatrix, flowCore, hmdbQuery, metabCombiner, MsCoreUtils, Pedixplorer, qcmetrics, RBioFormats, RcwlPipelines, ReUseData, rexposome, ribor, sevenbridges, twoddpcr, UCSC.utils, BioMartGOGeneSets, fitCons.UCSC.hg19, MafDb.1Kgenomes.phase1.GRCh38, MafDb.1Kgenomes.phase1.hs37d5, MafDb.1Kgenomes.phase3.GRCh38, MafDb.1Kgenomes.phase3.hs37d5, MafDb.ExAC.r1.0.GRCh38, MafDb.ExAC.r1.0.hs37d5, MafDb.ExAC.r1.0.nonTCGA.GRCh38, MafDb.ExAC.r1.0.nonTCGA.hs37d5, MafDb.gnomAD.r2.1.GRCh38, MafDb.gnomAD.r2.1.hs37d5, MafDb.gnomADex.r2.1.GRCh38, MafDb.gnomADex.r2.1.hs37d5, MafDb.TOPMed.freeze5.hg19, MafDb.TOPMed.freeze5.hg38, MafH5.gnomAD.v4.0.GRCh38, phastCons100way.UCSC.hg19, phastCons100way.UCSC.hg38, phastCons7way.UCSC.hg38, SNPlocs.Hsapiens.dbSNP144.GRCh37, SNPlocs.Hsapiens.dbSNP144.GRCh38, SNPlocs.Hsapiens.dbSNP149.GRCh38, SNPlocs.Hsapiens.dbSNP150.GRCh38, SNPlocs.Hsapiens.dbSNP155.GRCh37, SNPlocs.Hsapiens.dbSNP155.GRCh38, XtraSNPlocs.Hsapiens.dbSNP144.GRCh37, XtraSNPlocs.Hsapiens.dbSNP144.GRCh38, celldex, chipseqDBData, curatedMetagenomicData, curatedTCGAData, DNAZooData, DoReMiTra, DropletTestFiles, fourDNData, HCATonsilData, HighlyReplicatedRNASeq, HMP16SData, HMP2Data, imcdatasets, LegATo, MerfishData, MetaGxPancreas, MetaScope, MethylSeqData, MouseGastrulationData, MouseThymusAgeing, pd.atdschip.tiling, scMultiome, scpdata, scRNAseq, sesameData, SimBenchData, SingleCellMultiModal, SomaticCancerAlterations, spatialLIBD, TransOmicsData, tuberculosis, GeoMxWorkflows, seqpac, crispRdesignR, DR.SC, driveR, genBaRcode, geno2proteo, HiCociety, hicream, hoardeR, imcExperiment, karyotapR, LoopRig, MetAlyzer, microbial, mikropml, multimedia, NIPTeR, PlasmaMutationDetector, restfulr, rliger, rnaCrosslinkOO, rsolr, scROSHI, Signac, SpatialDDLS, TaxaNorm, toxpiR |
| Suggests Me | AlphaMissenseR, AlpsNMR, ANCOMBC, anndataR, BiocGenerics, dearseq, globalSeq, GWASTools, gypsum, iscream, koinar, martini, RTCGA, alternativeSplicingEvents.hg19, alternativeSplicingEvents.hg38, BioPlex, curatedAdipoRNA, ObMiTi, dependentsimr, gkmSVM, grandR, inDAGO, LorMe, pmartR, polyRAD, pQTLdata, RCPA, Rgff, Seurat, SNPassoc, updog, valr |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | S4Vectors_0.49.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/S4Vectors |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/S4Vectors |
| Bioc Package Browser | https://code.bioconductor.org/browse/S4Vectors/ |
| Package Short Url | https://bioconductor.org/packages/S4Vectors/ |
| Package Downloads Report | Download Stats |