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single-cell-rna-qc

Performs quality control on single-cell RNA-seq data

by anthropicsFree

29.7K
#2528in AI Skills
0In stores

Description

Single-cell-rna-qc is an agent skill that runs quality control on single-cell RNA-seq data following scverse best practices. It accepts two…

Highlights

  • Quality control for .h5ad and 10X Cell Ranger .h5 files
  • Filters low-quality cells using MAD-based outlier detection
  • Produces QC visualizations and metrics
  • Follows scverse and scanpy best practices by default

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single-cell-rna-qc FAQ

What data formats does it accept?

.h5ad files in AnnData format from scanpy workflows, and .h5 files from 10X Genomics Cell Ranger.

What does the QC do?

It filters low-quality cells with MAD-based outlier detection, assesses the data, and produces QC visualizations and metrics.

Which approach does it use by default?

The complete pipeline, unless you have specific requirements or ask for non-standard filtering.

Who is it for?

Researchers and bioinformaticians working with single-cell RNA-seq data in Python.

How do I install it?

Run npx skills add https://github.com/anthropics/knowledge-work-plugins --skill single-cell-rna-qc in your terminal.

Is it free?

Yes. The skill is listed as free on skills.sh.

What security audits has it passed?

skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.

What are the best single-cell-rna-qc alternatives?

Popular alternatives to single-cell-rna-qc include implement, brand-guidelines and canvas-design. See all single-cell-rna-qc alternatives

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