A collection of tools to process single-cell omics datasets.
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Updated
Jul 2, 2024 - C
A collection of tools to process single-cell omics datasets.
ThunderBio scRNA-seq pipeline
A Julia package for single cell and spatial data analysis
Multiomics Pipeline by Mo De for FOUNDIN-1c: RNA Analysis Only
muon is a multimodal omics Python framework
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Tools for correcting single cell barcodes for various scATAC-seq techniques.
Tools for working with scATAC-seq fragment files
Source code for uncovering IBD risk-driving regulatory mechanisms within different immune cell types
An R package performing object conversion from ArchRProject (ArchR) to Signac SeuratObject (Signac)
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
scPerturb: A resource and a python/R tool for single-cell perturbation data
Single-Cell Data Analysis Tools
Parse ArchR arrow files to anndata h5ad
Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
Reconstruction of higher order chromatin from scRNA-seq and scATAC-seq
Scripts for analysis of transcriptomic data of the developing cornea
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