An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
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Updated
Mar 11, 2026 - R
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Analysis Pipeline for Single Cell ATAC-seq
Haplotype-aware CNV analysis from single-cell RNA-seq, ATAC-seq, and multiome
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Workflow for analysis of healthy human kidney by snRNAseq and snATACseq
Containerized workflow for analysis of human diabetic kidney disease by snRNA-seq and snATAC-seq
Scripts for sincle cell multiome analysis
Single cell ANANSE Gene-regulatory-network analysis from Seurat objects
graph-based cell type annotation toolkit for single-cell RNA-seq, ATAC-seq, and spatial omics
Binary Factor Analysis: a dimensionality reduction tool for noisy, high throughput single cell genomic data
Containerized workflow for single cell detection of loss of Y chromosome and other mosaic chromosomal alterations in chronic kidney disease
scRNA-seq and scATAC-seq utilities
Analyzing chromatin accessibility data in R
Single-cell ATAC-seq analysis of human brain cortex cells using ArchR, Harmony, motif analysis and peak-to-gene linkage.
scATAC-seq pipeline mapping mucosal immunity and host-microbe crosstalk. Profiles physical chromatin accessibility of Trm cells (Itgae/CD103) and Secretory IgA Plasma cells (Igj) to decode intestinal defense mechanisms.
A R Shiny App for single-cell analysis
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