Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing


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Documentation for package ‘scCustomize’ version 1.1.1

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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_CellBender_Diff Calculate and add differences post-cell bender analysis
Add_Cell_Complexity_LIGER Add Cell Complexity Value
Add_Cell_Complexity_Seurat Add Cell Complexity Value
Add_Mito_Ribo_LIGER Add Mito and Ribo percentages to LIGER
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

-- B --

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
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_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
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

-- H --

Hue_Pal Hue_Pal

-- I --

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_to_Seurat Create a Seurat object containing the data from a liger object

-- M --

Median_Stats Median Statistics
Merge_Seurat_List Merge a list of Seurat Objects
Merge_Sparse_Data_All Merge a list of Sparse Matrices
Meta_Highlight_Plot Meta Highlight Plot
Meta_Numeric Check if meta data columns are numeric
Meta_Present Check if meta data are present
Meta_Present_LIGER Check if meta data are present
Meta_Remove_Seurat Remove meta data columns containing Seurat Defaults
Move_Legend Move Legend Position

-- 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_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
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_FeatureScatter Split FeatureScatter
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

-- 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