An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
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Updated
May 21, 2024 - R
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Exercises for scRNA-seq Workshop TREX x BioHPC 2024.
Repo linked to our recent publication in Science Advances
Single cell ANANSE Gene-regulatory-network analysis from Seurat objects
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.
add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
Simplifying Seurat data processing, clustering, and analysis
Scripts for sincle cell multiome analysis
GenePattern module which implements the batch correction algorithm within Seurat.
R script built on Seurat objects to analyze 10X single-cell expression data
scRNA-marker-gene-Annotation.
A bit of code to interconvert objects between the Seurat and RISC environments for scRNA-seq data analysis
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