Package: AnanseSeurat 1.2.0
Jos Smits
AnanseSeurat: Construct ANANSE GRN-Analysis Seurat
Enables gene regulatory network (GRN) analysis on single cell clusters, using the GRN analysis software 'ANANSE', Xu et al.(2021) <doi:10.1093/nar/gkab598>. Export data from 'Seurat' objects, for GRN analysis by 'ANANSE' implemented in 'snakemake'. Finally, incorporate results for visualization and interpretation.
Authors:
AnanseSeurat_1.2.0.tar.gz
AnanseSeurat_1.2.0.zip(r-4.5)AnanseSeurat_1.2.0.zip(r-4.4)AnanseSeurat_1.2.0.zip(r-4.3)
AnanseSeurat_1.2.0.tgz(r-4.4-any)AnanseSeurat_1.2.0.tgz(r-4.3-any)
AnanseSeurat_1.2.0.tar.gz(r-4.5-noble)AnanseSeurat_1.2.0.tar.gz(r-4.4-noble)
AnanseSeurat_1.2.0.tgz(r-4.4-emscripten)AnanseSeurat_1.2.0.tgz(r-4.3-emscripten)
AnanseSeurat.pdf |AnanseSeurat.html✨
AnanseSeurat/json (API)
NEWS
# Install 'AnanseSeurat' in R: |
install.packages('AnanseSeurat', repos = c('https://jgasmits.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jgasmits/ananseseurat/issues
grn-analysisseurat-objectssingle-cellsingle-cell-atac-seqsingle-cell-rna-seq
Last updated 1 years agofrom:3e46630a24. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:%>%config_scANANSEDEGS_scANANSEexport_ATAC_maelstromexport_ATAC_scANANSEexport_CPM_scANANSEFactor_Motif_Plotimport_seurat_maelstromimport_seurat_scANANSEMaelstrom_Motif2TFper_cluster_df
Dependencies:abindaskpassbackportsbase64encBHbitopsbootbroombslibcachemcarcarDatacaToolscliclustercodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkcurldata.tabledeldirDerivdigestdoBydotCall64dplyrdqrngevaluatefansifarverfastDummiesfastmapfitdistrplusFNNfontawesomeFormulafsfuturefuture.applygenericsggplot2ggpubrggrepelggridgesggsciggsignifglobalsgluegoftestgplotsgridExtragtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleidenlifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmunsellnlmenloptrnnetnumDerivopensslparallellypatchworkpbapplypbkrtestpillarpkgconfigplotlyplyrpngpolyclippolynomprogressrpromisespurrrquantregR6RANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectrarstatixRtsnesassscalesscattermoresctransformSeuratSeuratObjectshinysitmosourcetoolsspspamSparseMspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrsurvivalsystensortibbletidyrtidyselecttinytexutf8uwotvctrsviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
config_scANANSE | config_scANANSE |
DEGS_scANANSE | DEGS_scANANSE |
export_seurat_Maelstrom | export_ATAC_maelstrom |
export_ATAC_scANANSE | export_ATAC_scANANSE |
export_CPM_scANANSE | export_CPM_scANANSE |
Factor_Motif_Plot | Factor_Motif_Plot |
import_seurat_Maelstrom | import_seurat_maelstrom |
import_seurat_scANANSE | import_seurat_scANANSE |
Maelstrom_Motif2TF | Maelstrom_Motif2TF |
per_cluster_df | per_cluster_df |