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bio-workflows-multiome-pipeline

Maintainer FreedomIntelligence · Last updated April 1, 2026

10x Multiome: joint scRNA-seq + scATAC-seq processing and integration.

OpenClawNanoClawAnalysisReproductionbio-workflows-multiome-pipeline🧠 bioos extended suitebioos extended bioinformatics suite10x

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-workflows-multiome-pipeline

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

Complete workflow for 10X Multiome (joint scRNA + scATAC) analysis using Seurat and Signac.
rna_counts <- Read10X_h5('filtered_feature_bc_matrix.h5').

Source Doc

Excerpt From SKILL.md

Step 1: Load Multiome Data

library(Seurat)
library(Signac)
library(EnsDb.Hsapiens.v86)
library(ggplot2)

## Create Seurat object with RNA

seurat_obj <- CreateSeuratObject(
    counts = rna_counts$`Gene Expression`,
    assay = 'RNA'
)

## Or from fragments file

frags <- CreateFragmentObject('atac_fragments.tsv.gz', cells = colnames(seurat_obj))

Use cases

Use bio-workflows-multiome-pipeline for genomics and bioinformatics workflows.
Apply bio-workflows-multiome-pipeline to sequencing, variant, or omics analysis tasks.