R toolkit for single cell genomics
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Updated
Feb 7, 2025 - R
R toolkit for single cell genomics
NicheNet: predict active ligand-target links between interacting cells
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Table of software for the analysis of single-cell RNA-seq data.
Multi-subject Single Cell Deconvolution
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
R package for the joint analysis of multiple single-cell RNA-seq datasets
Color blindness friendly visualization of single-cell and bulk RNA-sequencing data
Generate high quality, publication ready visualizations for single cell transcriptomics data.
Haplotype-aware CNV analysis from single-cell RNA-seq
Seurat meets tidyverse. The best of both worlds.
Interfaces for HDF5-based Single Cell File Formats
scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.
A collection of 50+ trajectory inference methods within a common interface 📥📤
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
Infer cell types in scRNA-seq data using bulk RNA-seq or gene sets
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
R package to visualize gene expression data based on weighted kernel density estimation
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