R toolkit for single cell genomics

📊 A universal enrichment tool for interpreting omics data

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics

Analysis Pipeline for Single Cell ATAC-seq

Quantifying metabolism activity at the single-cell resolution

Batch effects and the effective design of single-cell gene expression studies

The bridge between the NCBI Gene Expression Omnibus and Bioconductor

inferring cell-cell communication from scRNA-seq of ligand-receptor

collected resource for scRNA-seq analysis

Explore and share your scRNAseq clustering results

Extended tools for correlation analysis and visualization.

Estimation of Single-Cell Potency with Single Cell Entropy

An unsupervised approach for the integrative analysis of single-cell multi-omics data

Scripts for processing single liver cells RNA-Seq 10X Genomics Data

Visualization tool for genetic reassortment

Single Cell multimodal data scripts for downloading datasets

Calculate spatial weights for time-series cross-sectional data and report spatial clustering test statistics