Create, read, and manipulate AnnData objects for single-cell RNA-seq datasets.
npx skills add https://github.com/tassiovale/claude-code-kit --skill anndata-tassiovale
Please help me install this Agent Skill. Skill: anndata Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/anndata Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill anndata-tassiovale
This Skill provides a comprehensive framework for managing and analyzing annotated data matrices, specifically designed for single-cell genomics. It addresses the challenges of handling large, complex datasets with efficient storage, manipulation, and analysis capabilities.
Use the anndata skill to read a single-cell RNA-seq dataset from a h5ad file:
anndata read_h5ad 'single_cell_data.h5ad'
High-intent search queries and answers about installing and using this skill.
To handle annotated data matrices for single-cell RNA-seq, use this Skill to create, read, and manipulate data structures efficiently. It supports preprocessing, dimensionality reduction, and visualization of large genomic datasets.
The best way to read and write single-cell RNA-seq datasets in h5ad, zarr, CSV, or MTX formats is using this Skill's input/output operations. It efficiently manages data storage and manipulation for annotated data matrices.
Yes, you can use Scanpy and scvi-tools with AnnData objects. This Skill seamlessly integrates with the scverse ecosystem, allowing you to perform dimensionality reduction and visualize results using these connected libraries.
To concatenate multiple single-cell RNA-seq datasets along observations or variables axes, use this Skill's concatenation features. It allows you to combine multiple annotated data matrices efficiently for broader genomic analysis.
Python 3.11 or higher is required to process annotated data matrices in single-cell genomics. This environment ensures compatibility with specific libraries like scanpy, scvi-tools, and cellxgene-census for full functionality.
Yes, this approach supports subsetting and filtering large single-cell RNA-seq datasets. You can efficiently transform, filter, and reorganize annotated data matrices to manage complex genomic data structures.
jonnabioAutomate single-cell RNA-seq analysis with scanpy from QC to visualization.
KetomihineAnalyze single-cell RNA-seq .h5ad data with Scanpy from QC to clustering.
jackspaceManage annotated data matrices with AnnData for single-cell genomics analysis.
jimmc414Manage and analyze annotated data matrices for single-cell genomics using AnnData.