Single-cell analysis in Python. Scales to >1M cells.
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Updated
Dec 10, 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
Rapids_singlecell: A GPU-accelerated tool for scRNA analysis. Offers seamless scverse compatibility for efficient single-cell data processing and analysis.
A guide to using a Seurat object in conjunction with RNA Velocity
SGS, is a user-friendly, collaborative and versatile browser for visualizing single-cell and spatial multiomics data.
Multimodal Data (.h5mu) implementation for Python
Bring your single-cell data to life
Unsupervised Deep Disentangled Representation of Single-Cell Omics
Muon for Julia
pseudobulking on an AnnData object
.h5mu files interface for Seurat
Create PyTorch Datasets from AnnData
Download and Convert METASPACE datasets to common formats such as AnnData or SpatialData
MiCV is a python dash-based web-application that enables researchers to upload raw scRNA-seq data and perform filtering, analysis, and manual annotation.
MuData-compatible storage for bioconductor's MultiAssayExperiment
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