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bio-workflows-multi-omics-pipeline

Maintainer FreedomIntelligence · Last updated April 1, 2026

Multi-omics integration pipeline: MOFA, SNF, similarity network fusion.

OpenClawNanoClawAnalysisReproductionbio-workflows-multi-omics-pipeline🧠 bioos extended suitebioos extended bioinformatics suitemulti

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

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

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

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

rna <- read.csv('rnaseq_normalized.csv', row.names = 1) cat('RNA:', nrow(rna), 'samples,', ncol(rna), 'genes\n').
protein <- read.csv('proteomics_normalized.csv', row.names = 1) cat('Protein:', nrow(protein), 'samples,', ncol(protein), 'proteins\n').

Source Doc

Excerpt From SKILL.md

Complete MOFA2 Workflow

library(MOFA2)
library(MOFAdata)
library(ggplot2)
library(tidyverse)

## Metabolomics data (samples x metabolites)

metab <- read.csv('metabolomics_normalized.csv', row.names = 1)
cat('Metabolites:', nrow(metab), 'samples,', ncol(metab), 'metabolites\n')

## Find common samples

common_samples <- Reduce(intersect, list(rownames(rna), rownames(protein), rownames(metab)))
cat('Common samples:', length(common_samples), '\n')

Use cases

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