Package: sciNOME 0.99.0
sciNOME: Region-Centric Integration for Single-Cell Multi-Omics
Provides an end-to-end pipeline for processing RNA, DNA methylation, and chromatin accessibility data at the single-cell level. It features ultra-fast data aggregation, quality control, dimensionality reduction, and multi-omics integration based on genomic regions. Additionally, it offers extensive publication-ready visualization tools for downstream analysis.
Authors:
sciNOME_0.99.0.tar.gz
sciNOME_0.99.0.zip(r-4.7)sciNOME_0.99.0.zip(r-4.6)sciNOME_0.99.0.zip(r-4.5)
sciNOME_0.99.0.tgz(r-4.6-any)sciNOME_0.99.0.tgz(r-4.5-any)
sciNOME_0.99.0.tar.gz(r-4.7-any)sciNOME_0.99.0.tar.gz(r-4.6-any)
sciNOME_0.99.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sciNOME/json (API)
NEWS
| # Install 'sciNOME' in R: |
| install.packages('sciNOME', repos = c('https://biocstaging.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/medinfo-lab/scinome/issues
softwaresinglecellepigeneticstranscriptomicsdnamethylationdifferentialexpressiondimensionreductionclusteringqualitycontrol
Last updated from:890d8da44f. Checks:8 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 188 | ||
| linux-devel-x86_64 | NOTE | 243 | ||
| source / vignettes | OK | 309 | ||
| linux-release-x86_64 | NOTE | 257 | ||
| macos-release-arm64 | NOTE | 171 | ||
| macos-oldrel-arm64 | NOTE | 177 | ||
| windows-devel | NOTE | 178 | ||
| windows-release | NOTE | 173 | ||
| windows-oldrel | NOTE | 196 | ||
| wasm-release | OK | 168 |
Exports:AddMetaData_RNAAggregate_epiRegionsBuild_RNAObjectCreateRNAObjectExtract_epiDataIntegrate_MultiOmicsPlotDimRed_EpiPlotDimRed_RNAPlotLandscape_EpiPlotOmicsMatrixPlotOmicsScatterPlotPseudo_RNAPlotQC_RNAPlotVolcano_EpiPlotVolcano_RNAProcessQC_RNAQC_epiDataReduce_epiDimsRun_DiffanalysisRunClustering_RNARunDEA_RNARunDimReduction_RNARunPseudotime_RNA
Dependencies:abindbackportsBHBiobaseBiocGenericsBiocManagerbootbroomcarcarDatacliclustercodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdigestdoBydoParalleldplyrdqrngfarverFNNforeachforecastFormulafracdiffgenericsGenomicRangesggplot2ggpubrggrepelggridgesggsciggsignifgluegridBasegridExtragtableigraphimputeIRangesirlbaisobanditeratorslabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrNMFnnetnumDerivpatchworkpbapplypbkrtestpillarpkgconfigplyrpolynomprincurvepurrrquantregR6rbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppProgressRdpackreformulasregistryreshape2rlangrngtoolsRSpectrarstatixRtsneS4VectorsS7scalesSeqinfositmoSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8uwotvctrsviridisLitewithrzoo
Epigenetic Data Processing and Analysis using sciNOME
Rendered fromEpi_Analysis.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-05-14
Started: 2026-05-13
Multi-Omics Integration in sciNOME
Rendered fromMultiOmics_Integration.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-05-14
Started: 2026-05-13
Single-Cell RNA Analysis Pipeline in sciNOME
Rendered fromRNA_Analysis.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-05-14
Started: 2026-05-13
Visualization Gallery in sciNOME
Rendered fromPlot.Rmdusingknitr::rmarkdownon Jun 14 2026.Last update: 2026-05-14
Started: 2026-05-14
