lib-anndata

What problem does it solve?

This Skill provides a standardized and efficient way to handle complex, annotated data matrices, particularly in biological and single-cell analysis, simplifying data storage, manipulation, and integration.

Core Features & Use Cases

• Data Structure: Efficiently store and access large datasets with associated metadata (observations, variables, layers, embeddings).
• I/O Operations: Read and write data in various formats (h5ad, zarr, csv, loom, etc.), supporting large files and cloud storage.
• Data Manipulation: Subset, filter, transpose, and transform data with optimized operations.
• Integration: Seamlessly works with popular bioinformatics tools like Scanpy.
• Use Case: Analyze single-cell RNA sequencing data by loading count matrices, performing normalization, dimensionality reduction, and clustering, all while keeping track of cell and gene annotations.

Quick Start

Load the 'my_data.h5ad' file into an AnnData object for analysis.