AnnData Genomics & Data Science

소개

AnnData is a specialized skill for handling annotated data matrices (X) alongside observation (obs) and variable (var) metadata. It serves as the foundational framework for the scverse ecosystem, enabling efficient storage, manipulation, and analysis of single-cell RNA-seq and other high-dimensional biological data. This skill helps users perform complex data operations like reading h5ad files, subsetting large datasets, and integrating with tools like Scanpy while following best practices for memory management and sparse matrix handling.

주요 기능

• Advanced concatenation strategies for merging multiple experimental batches.
• Efficient data subsetting and filtering using metadata-driven conditions.
• Read and write multiple formats including h5ad, Zarr, CSV, and 10X Genomics h5.
• Memory-optimized operations using sparse matrices and on-disk backed mode.
• 1 GitHub stars
• Seamless integration with the scverse ecosystem including Scanpy and scvi-tools.

사용 사례

• Processing and quality control of single-cell RNA-sequencing (scRNA-seq) datasets.
• Building memory-efficient data loaders for deep learning models in genomics.
• Integrating multiple biological datasets with complex observation and variable metadata.