Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing


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Documentation for package ‘scCustomize’ version 2.1.2

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A B C D E F G H I J L M N P Q R S T U V

-- A --

Add_Alt_Feature_ID Add Alternative Feature IDs
Add_CellBender_Diff Calculate and add differences post-cell bender analysis
Add_Cell_Complexity Add Cell Complexity
Add_Cell_Complexity.liger Add Cell Complexity
Add_Cell_Complexity.Seurat Add Cell Complexity
Add_Cell_QC_Metrics Add Multiple Cell Quality Control Values with Single Function
Add_Mito_Ribo Add Mito and Ribo percentages
Add_Mito_Ribo.liger Add Mito and Ribo percentages
Add_Mito_Ribo.Seurat Add Mito and Ribo percentages
Add_Pct_Diff Add percentage difference to DE results
Add_Sample_Meta Add Sample Level Meta Data
Add_Top_Gene_Pct_Seurat Add Percent of High Abundance Genes
as.anndata Convert objects to anndata objects
as.anndata.liger Convert objects to anndata objects
as.anndata.Seurat Convert objects to anndata objects
as.LIGER Convert objects to LIGER objects
as.LIGER.list Convert objects to LIGER objects
as.LIGER.Seurat Convert objects to LIGER objects
as.Seurat.liger Convert objects to 'Seurat' objects

-- B --

Barcode_Plot Create Barcode Rank Plot
Blank_Theme Blank Theme

-- C --

Case_Check Check for alternate case features Checks Seurat object for the presence of features with the same spelling but alternate case.
CellBender_Diff_Plot Plot Number of Cells/Nuclei per Sample
CellBender_Feature_Diff CellBender Feature Differences
Cell_Highlight_Plot Meta Highlight Plot
Change_Delim_All Change all delimiters in cell name
Change_Delim_Prefix Change barcode prefix delimiter
Change_Delim_Suffix Change barcode suffix delimiter
CheckMatrix_scCustom Check Matrix Validity
Clustered_DotPlot Clustered DotPlot
Cluster_Highlight_Plot Cluster Highlight Plot
Cluster_Stats_All_Samples Calculate Cluster Stats
ColorBlind_Pal Color Universal Design Short Palette
Convert_Assay Convert between Seurat Assay types
Copy_From_GCP Copy folder from GCP bucket from R Console
Copy_To_GCP Copy folder to GCP bucket from R Console
Create_10X_H5 Create H5 from 10X Outputs
Create_CellBender_Merged_Seurat Create Seurat Object with Cell Bender and Raw data
Create_Cluster_Annotation_File Create cluster annotation csv file

-- D --

Dark2_Pal Dark2 Palette
DimPlot_All_Samples DimPlot by Meta Data Column
DimPlot_LIGER DimPlot LIGER Version
DimPlot_scCustom DimPlot with modified default settings
DiscretePalette_scCustomize Discrete color palettes
DotPlot_scCustom Customized DotPlot

-- E --

ensembl_mito_id Ensembl Mito IDs
ensembl_ribo_id Ensembl Ribo IDs
Extract_Modality Extract multi-modal data into list by modality
Extract_Sample_Meta Extract sample level meta.data
Extract_Top_Markers Extract Top N Marker Genes

-- F --

FeaturePlot_DualAssay Customize FeaturePlot of two assays
FeaturePlot_scCustom Customize FeaturePlot
FeatureScatter_scCustom Modified version of FeatureScatter
Feature_Present Check if genes/features are present
Fetch_Meta Get meta data from object
Fetch_Meta.liger Get meta data from object
Fetch_Meta.Seurat Get meta data from object

-- G --

Gene_Present Check if genes/features are present *[Soft-deprecated]*

-- H --

Hue_Pal Hue_Pal

-- I --

ieg_gene_list Immediate Early Gene (IEG) gene lists
Iterate_Barcode_Rank_Plot Iterative Barcode Rank Plots
Iterate_Cluster_Highlight_Plot Iterate Cluster Highlight Plot
Iterate_DimPlot_bySample Iterate DimPlot By Sample
Iterate_FeaturePlot_scCustom Iterative Plotting of Gene Lists using Custom FeaturePlots
Iterate_Meta_Highlight_Plot Iterate Meta Highlight Plot
Iterate_PC_Loading_Plots Iterate PC Loading Plots
Iterate_Plot_Density_Custom Iterative Plotting of Gene Lists using Custom Density Plots
Iterate_Plot_Density_Joint Iterative Plotting of Gene Lists using Custom Joint Density Plots
Iterate_VlnPlot_scCustom Iterative Plotting of Gene Lists using VlnPlot_scCustom

-- J --

JCO_Four Four Color Palette (JCO)

-- L --

LIGER_Features Extract Features from LIGER Object
Liger_to_Seurat Create a Seurat object containing the data from a liger object *[Soft-deprecated]*

-- M --

MAD_Stats Median Absolute Deviation Statistics
Median_Stats Median Statistics
Merge_Seurat_List Merge a list of Seurat Objects
Merge_Sparse_Data_All Merge a list of Sparse Matrices
Merge_Sparse_Multimodal_All Merge a list of Sparse Matrices contain multi-modal data.
Meta_Highlight_Plot Meta Highlight Plot
Meta_Numeric Check if meta data columns are numeric
Meta_Present Check if meta data are present
Meta_Remove_Seurat Remove meta data columns containing Seurat Defaults
Move_Legend Move Legend Position
msigdb_qc_gene_list QC Gene Lists

-- N --

NavyAndOrange Navy and Orange Dual Color Palette

-- P --

PalettePlot Plot color palette in viewer
PC_Plotting PC Plots
Percent_Expressing Calculate percent of expressing cells
plotFactors_scCustom Customized version of plotFactors
Plot_Cells_per_Sample Plot Number of Cells/Nuclei per Sample
Plot_Density_Custom Nebulosa Density Plot
Plot_Density_Joint_Only Nebulosa Joint Density Plot
Plot_Median_Genes Plot Median Genes per Cell per Sample
Plot_Median_Mito Plot Median Percent Mito per Cell per Sample
Plot_Median_Other Plot Median other variable per Cell per Sample
Plot_Median_UMIs Plot Median UMIs per Cell per Sample
Pull_Cluster_Annotation Pull cluster information from annotation csv file.
Pull_Directory_List Pull Directory List

-- Q --

QC_Histogram QC Histogram Plots
QC_Plots_Combined_Vln QC Plots Genes, UMIs, & % Mito
QC_Plots_Complexity QC Plots Cell "Complexity"
QC_Plots_Feature QC Plots Feature
QC_Plots_Genes QC Plots Genes
QC_Plots_Mito QC Plots Mito
QC_Plots_UMIs QC Plots UMIs
QC_Plot_GenevsFeature QC Plots Genes vs Misc
QC_Plot_UMIvsFeature QC Plots UMI vs Misc
QC_Plot_UMIvsGene QC Plots Genes vs UMIs

-- R --

Read10X_GEO Load in NCBI GEO data from 10X
Read10X_h5_GEO Load in NCBI GEO data from 10X in HDF5 file format
Read10X_h5_Multi_Directory Load 10X h5 count matrices from multiple directories
Read10X_Multi_Directory Load 10X count matrices from multiple directories
Read_CellBender_h5_Mat Load CellBender h5 matrices (corrected)
Read_CellBender_h5_Multi_Directory Load CellBender h5 matrices (corrected) from multiple directories
Read_CellBender_h5_Multi_File Load CellBender h5 matrices (corrected) from multiple files
Read_GEO_Delim Load in NCBI GEO data formatted as single file per sample
Read_Metrics_10X Read Overall Statistics from 10X Cell Ranger Count
Reduction_Loading_Present Check if reduction loadings are present
Rename_Clusters Rename Cluster Seurat
Replace_Suffix Replace barcode suffixes

-- S --

scCustomize_Palette Color Palette Selection for scCustomize
Seq_QC_Plot_Alignment_Combined QC Plots Sequencing metrics (Alignment) (Layout)
Seq_QC_Plot_Antisense QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_Basic_Combined QC Plots Sequencing metrics (Layout)
Seq_QC_Plot_Exonic QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_Genes QC Plots Sequencing metrics
Seq_QC_Plot_Genome QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_Intergenic QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_Intronic QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_Number_Cells QC Plots Sequencing metrics
Seq_QC_Plot_Reads_in_Cells QC Plots Sequencing metrics
Seq_QC_Plot_Reads_per_Cell QC Plots Sequencing metrics
Seq_QC_Plot_Saturation QC Plots Sequencing metrics
Seq_QC_Plot_Total_Genes QC Plots Sequencing metrics
Seq_QC_Plot_Transcriptome QC Plots Sequencing metrics (Alignment)
Seq_QC_Plot_UMIs QC Plots Sequencing metrics
Setup_scRNAseq_Project Setup project directory structure
Single_Color_Palette Single Color Palettes for Plotting
Split_Layers Split Seurat object into layers
Split_Vector Split vector into list
Stacked_VlnPlot Stacked Violin Plot
Store_Misc_Info_Seurat Store misc data in Seurat object
Store_Palette_Seurat Store color palette in Seurat object

-- T --

theme_ggprism_mod Modified ggprism theme
Top_Genes_Factor Extract top loading genes for LIGER factor

-- U --

UnRotate_X Unrotate x axis on VlnPlot
Updated_HGNC_Symbols Update HGNC Gene Symbols

-- V --

VariableFeaturePlot_scCustom Custom Labeled Variable Features Plot
Variable_Features_ALL_LIGER Perform variable gene selection over whole dataset
viridis_dark_high Viridis Shortcuts
viridis_inferno_dark_high Viridis Shortcuts
viridis_inferno_light_high Viridis Shortcuts
viridis_light_high Viridis Shortcuts
viridis_magma_dark_high Viridis Shortcuts
viridis_magma_light_high Viridis Shortcuts
viridis_plasma_dark_high Viridis Shortcuts
viridis_plasma_light_high Viridis Shortcuts
VlnPlot_scCustom VlnPlot with modified default settings