anndata

Create, read, write, and manipulate AnnData objects for single-cell genomics.

52|6|Updated Nov 24, 2025

Search Tags:#anndata #h5ad #scRNA-seq #scanpy #AnnData #multi-omics

Ready to run

npx skills add https://github.com/ovachiever/droid-tings --skill anndata-ovachiever

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: anndata
Source: https://github.com/ovachiever/droid-tings/tree/main/skills/anndata
Command: npx skills add https://github.com/ovachiever/droid-tings --skill anndata-ovachiever

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anndata, pandas, numpy, and includes references (resource) components.

What problem does it solve?

AnnData provides a robust data structure to store biological measurements, annotations, and multi-dimensional data, enabling scalable analysis workflows with Scanpy and the broader scverse ecosystem.

Core Features & Use Cases

Core data container for omics datasets (X, obs, var, layers, obsm, uns)
Backed mode, sparse matrices, and memory-efficient operations
Subsetting, concatenation, and merging of multiple datasets
Integration with Scanpy, Muon, and deep learning pipelines
Flexible I/O across H5AD, Zarr, MTX, Loom, and more

Use cases include single-cell analysis, multi-omics integration, and large-scale dataset management.

Quick Start

Build a minimal AnnData object with X, obs, and var, then save to h5ad.

Frequently Asked Questions about anndata

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create and store annotated data matrices for single-cell genomics analysis?▼

AnnData is a data structure that stores biological measurements (X matrix), cell annotations (obs), gene metadata (var), and multi-dimensional data in a single object, then saves to h5ad format for efficient single-cell analysis workflows.

Can I work with large single-cell datasets without loading everything into memory?▼

Yes. AnnData supports backed mode for memory-efficient operations on large h5ad files, sparse matrices, and lazy loading, enabling scalable analysis of multi-omics data without exhausting RAM.

What file formats does AnnData support for reading and writing genomics data?▼

AnnData handles h5ad, zarr, CSV, MTX, Loom, and 10X formats, allowing flexible I/O across common single-cell and multi-omics data sources.

How do I combine multiple annotated datasets or subset specific cells and genes?▼

AnnData provides subsetting, concatenation, and merging operations to combine datasets or extract cell and gene subsets while preserving annotations and multi-dimensional layers.

Does AnnData integrate with Scanpy and other tools in the scverse ecosystem?▼

Yes. AnnData is the core container for Scanpy, Muon, and scverse tools, enabling seamless integration with single-cell analysis pipelines and deep learning frameworks.