anndata-data-structure

What problem does it solve?

This Skill provides the standard data structure for single-cell genomics, enabling efficient storage, manipulation, and integration of complex biological datasets.

Core Features & Use Cases

• Data Structuring: Organizes expression matrices with rich cell and gene metadata.
• File Handling: Supports reading and writing .h5ad and .zarr formats, crucial for large single-cell experiments.
• Ecosystem Integration: Seamlessly works with tools like Scanpy and scvi-tools.
• Use Case: You have raw single-cell RNA sequencing data and want to store it with associated cell type information, gene annotations, and dimensionality reductions for later analysis.

Quick Start

Create an AnnData object from a sparse count matrix and write it to an H5AD file.