Anndata

What it does

The anndata skill allows AI agents to process and analyze AnnData objects, a common file format in single-cell genomics. It can load, inspect, and perform basic operations on these datasets, enabling tasks like visualizing cell populations or extracting specific data points. This skill facilitates working with complex biological data directly within an AI agent workflow.

When to use it

• Analyzing single-cell RNA sequencing (scRNA-seq) data: Load a dataset and identify clusters of cells based on gene expression.
• Extracting information from multi-omics datasets: Combine different types of data stored in an AnnData object, such as gene expression and protein levels.
• Preparing data for machine learning models: Preprocess AnnData objects to create features suitable for training AI models.
• Exploring spatial transcriptomic data: Visualize cell locations and their associated gene expression profiles from spatially resolved datasets.

Key capabilities

• Loading AnnData objects from file paths
• Inspecting the structure of AnnData objects (e.g., number of cells, genes)
• Accessing specific data layers within an AnnData object (e.g., raw counts, normalized expression)
• Basic data manipulation and filtering

Example prompts

• "Load the AnnData object from /path/to/my_data.h5ad."
• "Show me the number of cells in this AnnData object."
• "What genes are present in the 'counts' layer?"

Tips & gotchas

Requires familiarity with AnnData objects and their structure. Ensure the AI agent has access to the necessary file paths for loading data.