Deep probabilistic analysis of single-cell and spatial omics data
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
An interactive explorer for single-cell transcriptomics data
Analysis of single cell RNA-seq data course
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Fast, sensitive and accurate integration of single-cell data with Harmony
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A tool for semi-automatic cell type classification
Reference mapping for single-cell genomics
Useful functions to make your scRNA-seq plot more cool!
Spatial alignment of single cell transcriptomic data.
Single cell perturbation prediction
Table of software for the analysis of single-cell RNA-seq data.
Single-cell perturbation analysis
Single cell trajectory detection
Papers with code for single cell related papers
Single-cell Transcriptome and Regulome Analysis Pipeline
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
muon is a multimodal omics Python framework
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