R Package for Single Cell RNAseq Synthetic Data Simulation

Tools and functions for conducting scRNASeq in my pipelines

Hello there! Some code on how to merge >2 Seurat objects and maintain object identity :)

Plot_ly-based plotting functions for use with Seurat objects

R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)

Ligand-Receptor Analysis for scRNAseq data

Single Cell Cluster Evaluation

Normalization for single cell RNA-seq data

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

Scripts used in scRNAseq and scCUTnTag data processing and analyses in 2023 Tenney et al Nature Genetics HCFP paper

R package developed for single-cell RNA-seq analysis. It was designed using the Seurat framework, and offers existing and novel single-cell analytic work flows.

Robust single cell clustering and comparison of population compositions across tissues and experimental models via similarity analysis.

Differential expression and allelic analysis, nonparametric statistics

Explore and share your scRNAseq clustering results

scRNA cluster via Seurat package

R Package for interrogating clonal data

Cell type pipes for R

Automated scRNAseq analysis package

Discovers nested gene co-expressing modules