ann-data

What problem does it solve?

This Skill allows computational biologists to manage and analyze annotated single-cell RNA-seq data effectively, reducing manual analysis steps and ensuring accurate and efficient analysis workflows.

Core Features & Use Cases

• Data Storage & Management: Handle and organize single-cell RNA-seq data using AnnData structures for efficient data access and manipulation.
• Input/Output Operations: Read and write data in various formats (e.g., h5ad, zarr, CSV) and work with large datasets.
• Data Analysis: Perform subsetting, filtering, transformation, and other analysis operations on AnnData objects.
• Integration with Scverse Tools: Seamless integration with Scanpy, scvi-tools, and cellxgene-census for extended data analysis and visualization.
• Use Case: Consider analyzing thousands of cells and their corresponding genes, then filter to high-quality cells, perform PCA for dimensionality reduction, and generate visualizations to interpret your results.

Quick Start

Extract high-quality, highly variable genes from an AnnData object stored in 'filtered.h5ad' using AnnData features and export to a new h5ad file.