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

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

Scripts for sincle cell multiome analysis

Single cell ANANSE Gene-regulatory-network analysis from Seurat objects

R script built on Seurat objects to analyze 10X single-cell expression data

add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects

Simplifying Seurat data processing, clustering, and analysis

Repo linked to our recent publication in Science Advances

Exercises for scRNA-seq Workshop TREX x BioHPC 2024.

R package providing essential bioinformatics tools for the analysis and visualization of scRNA-seq data.

R toolkit designed to enhance the process of cleaning up and visualizing clusters within a Seurat object, commonly used for scRNA-seq data analysis.

A bit of code to interconvert objects between the Seurat and RISC environments for scRNA-seq data analysis

scRNA-marker-gene-Annotation.

GenePattern module which implements the batch correction algorithm within Seurat.