scanalysis

Multi-Sample Visualization and Immune Repertoire Analysis Utilities for Single-Cell Data

Features

scanalysis is a framework with easy-to-use yet flexible utilities for the analysis of single-cell data. There are currently four major emphases in scanalysis:

  • ease of analyzing multiple samples at once
  • ability to quickly generate exploratory analysis figures that are also publication-quality
  • immune repertoire analysis
  • preprocessing visualizations

It does not aim to replicate any functionality from popular analysis frameworks like Seurat, scran, scater or the limitless other packages available, but rather aims to fill gaps in the current software options and is meant to be used in conjunction with these and hopefully speed up the exploratory analysis process.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
# devtools::install_github("keshavmot2/scanalysis")