Single-cell analysis in Python. Scales to >1M cells.
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Updated
Jun 28, 2024 - Python
Single-cell analysis in Python. Scales to >1M cells.
Annotated data.
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
muon is a multimodal omics Python framework
A guide to using a Seurat object in conjunction with RNA Velocity
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
Multimodal Data (.h5mu) implementation for Python
Bring your single-cell data to life
.h5mu files interface for Seurat
Muon for Julia
MuData-compatible storage for bioconductor's MultiAssayExperiment
Michael Vinyard's utilities
Multimodal datasets, in MuData format
MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.
anndata with trees
pseudobulking on an AnnData object
TeeSnee is an algorithm designed to take high-dimensional gene expression data and represent it in low-dimensional space.
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