Various utility functions for Seurat single-cell analysis
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Updated
Jun 10, 2024 - R
Various utility functions for Seurat single-cell analysis
Single Cell RNA-seq Course
Deep probabilistic analysis of single-cell and spatial omics data
Spatial Single Cell Analysis in Python
Reference mapping for single-cell genomics
Rails/Docker application for the Broad Institute's single cell RNA-seq data portal
R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.
Community-provided extensions to Seurat
Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
R toolkit for single cell genomics
Single cell trajectory detection
A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.
Inference of Disease Progressive Level in Single-Cell Data
Convert Seurat objects to 10x Genomics Loupe files.
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
A study of the crosstalk between cancer cells and tumor microenvironmental cells.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Single cell Perturbations - Analysis of Differential gene Expression
SCGid, a consensus approach to contig filtering and genome prediction from single-cell sequencing libraries
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