A bit of code to interconvert objects between the Seurat and RISC environments for scRNA-seq data analysis
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Updated
Jul 8, 2021 - R
A bit of code to interconvert objects between the Seurat and RISC environments for scRNA-seq data analysis
scRNA-marker-gene-Annotation.
R script built on Seurat objects to analyze 10X single-cell expression data
GenePattern module which implements the batch correction algorithm within Seurat.
Scripts for sincle cell multiome analysis
Simplifying Seurat data processing, clustering, and analysis
This repository contains R code, with which you can create 3D UMAP and tSNE plots of Seurat analyzed scRNAseq data
add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects
R toolkit designed to enhance the process of cleaning up and visualizing clusters within a Seurat object, commonly used for scRNA-seq data analysis.
R package providing essential bioinformatics tools for the analysis and visualization of scRNA-seq data.
Single cell ANANSE Gene-regulatory-network analysis from Seurat objects
Repo linked to our recent publication in Science Advances
Exercises for scRNA-seq Workshop TREX x BioHPC 2024.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
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