R toolkit for single cell genomics

R package that extends ggplot2

R package for detecting doublets in single-cell RNA sequencing data

An R package to simulate colorblindness on R figures.

R package to quantify and remove cell free mRNAs from droplet based scRNA-seq data

Color blindness friendly visualization of single-cell and bulk RNA-sequencing data

reticulate-free single cell format conversion

Seurat meets tidyverse. The best of both worlds.

Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data

This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data

Single-cell RNA-seq Gene Expression Recovery

R implementation of MULTI-seq sample classification workflow

Implementation of the matrixStats API for sparse matrices

TSCAN: Tools for Single-Cell ANalysis

📷 Read and Write 'Exif' Image/Media Tags with R

An R package to assist people answering R questions on Stack Overflow

Granular Functional Filtering (Gruffi) to isolate stressed cells

Multicore and utility functions for Seurat 2 & 3, using doMC / foreach packages.

A collection of custom R functions. Works with MarkdownReports, SeuratUtils but also as a standalone set of more than 200 productivity tools.

The NEST-Score (NEighbourhood Sample homogeneiTy-Score) evaluates how well the samples in an aggregated dataset mix in a cell's neighborhood in Principal Component space.