APackOfTheClones1.3.0 package

Visualization of Clonal Expansion for Single Cell Immune Profiles

AdjustAPOTC

Adjust the parameters of the APackOfTheClones reduction in a seurat ob...

APackOfTheClones-package

APackOfTheClones: Visualization of Clonal Expansion for Single Cell Im...

APOTCPlot

Various variations of visualizations of clonal expansion post-RunAPOTC

clonal_expansion_plot

DEFUNCT: Visualize T cell clonal expansion with a ball-packing plot.

containsApotcRun

Check for the existence of an APackOfTheClones run with its run id

count_clone_sizes

DEFUNCT: count the number of clonotype sizes per cell cluster in a seu...

countCloneSizes

count the number of clonotype sizes in a seurat object combined with a...

deleteApotcData

Delete the results of an APackOfTheClones run

getApotcDataIds

Get all run ids of previous RunAPOTC runs on a seurat object

getLastApotcDataId

Get the object id of the most recent RunAPOTC run on a seurat object

getReductionCentroids

Calculate seurat cluster centroids based on a Dimensional reduction

getSharedClones

Compute a list of clonotypes that are shared between seurat clusters

integrate_tcr

DEFUNCT: Integrate a single TCR library into Seurat object metadata

mergeCloneSizes

Merge a list of Clustered Clonotype Frequency Tables

overlayLegend

overlay a clone size legend on an APackOfTheClones plot

removeLegend

Remove current APackOfTheClones legend

renameApotcRun

Rename an APackOfTheClones run

RunAPOTC

Run the APackOfTheClones method on a combined Seurat object for downst...

showCloneHighlight

Highlight specific clones on an APackOfTheClones ggplot

vizAPOTC

Directly visualize clonal expansion of a combined seurat object

Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles. The method was originally implemented by Murray Christian and Ben Murrell in the following immunology study: Ma et al. (2021) <doi:10.1126/sciimmunol.abg6356>.

  • Maintainer: Qile Yang
  • License: MIT + file LICENSE
  • Last published: 2025-08-18