cellranger-arc-multiome

Process Chromium Multiome ATAC+GEX data with cellranger-arc count.

1|Updated Nov 20, 2025
One-click install
npx skills add https://github.com/tony-zhelonkin/SciAgent-toolkit --skill cellranger-arc-multiome
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cellranger-arc-multiome
Source: https://github.com/tony-zhelonkin/SciAgent-toolkit/tree/main/skills/cellranger-arc-multiome
Command: npx skills add https://github.com/tony-zhelonkin/SciAgent-toolkit --skill cellranger-arc-multiome

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the end-to-end processing of Chromium 10x Multiome ARC data, enabling researchers to demultiplex single-index ATAC libraries and align ATAC and GEX modalities from the same cells in a single workflow.

Core Features & Use Cases

  • End-to-end ARC pipeline: mkfastq, count, aggregated result, and reanalysis steps for paired ATAC and GEX data.
  • Library configuration: supports combined ATAC and GEX libraries via a libraries CSV, with rules to ensure both modalities are present.
  • Output readiness: generates joint matrices and depth-fragment data suitable for downstream analyses (Seurat, Signac, ArchR).

Quick Start

Provide a libraries CSV with both ATAC and GEX entries and run cellranger-arc count to start processing your multiome FASTQ data.

Frequently Asked Questions about cellranger-arc-multiome

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I process 10x Multiome ATAC+GEX data end-to-end?

Process 10x Multiome ATAC+GEX data by running the cellranger-arc pipeline to demultiplex single-index ATAC libraries and align paired modalities from the same cells. It executes end-to-end steps including mkfastq, count, aggregation, and reanalysis.

How do I configure a libraries CSV for 10x Multiome ARC processing?

Configure a libraries CSV for 10x Multiome ARC processing by including combined ATAC and GEX library entries. The pipeline enforces specific rules to ensure both modalities are present before running cellranger-arc count on your FASTQ data.

Can I demultiplex single-index ATAC libraries in a combined multiome workflow?

Yes, you can demultiplex single-index ATAC libraries within a combined multiome workflow. The pipeline handles single-index ATAC demultiplexing directly alongside GEX alignment to process paired data from the same cells.

What outputs does the cellranger-arc pipeline generate for downstream analysis?

The cellranger-arc pipeline generates joint matrices and depth-fragment data outputs. These filtered matrices and fragment files are produced ready for downstream analyses using tools like Seurat, Signac, and ArchR.

Does the 10x Multiome ARC pipeline support aggregated results and reanalysis?

Yes, the 10x Multiome ARC pipeline supports aggregated results and reanalysis steps. It provides a complete end-to-end workflow that includes mkfastq, count, aggregated result generation, and reanalysis for paired ATAC and GEX data.

What is the best way to handle paired ATAC and gene expression data from the same cells?

The best way to handle paired ATAC and gene expression data is using a combined libraries CSV to configure the multiome workflow. This ensures both modalities are processed together through mkfastq and count to generate joint outputs.