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
Papers with code for single cell related papers
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
Tutorial of single-cell RNA-ATAC multiomic sequencing data analysis
Accurate and fast cell marker gene identification with COSG
All-in-one analysis pipeline
Co-accessibility network from single-cell ATAC-seq data. Python code with AnnData, based on Cicero algorithm.
Pytorch implementation of EpiFoundation
<<------ Use SnapATAC!!
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
Sanger Cellular Genetics single-cell ATAC-seq pipeline.
PIASO: Precise Integrative Analysis of Single-cell Omics
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
SCRIP(Single Cell Regulatory network Inference using ChIP-seq) is a tool for evaluating the binding enrichment of specific TR at single-cell resolution based on scATAC-seq.
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