install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bio-genome-assembly-hifi-assembly" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-bio-genome-assembly-hifi-assembly && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bio-genome-assembly-hifi-assembly" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-bio-genome-assembly-hifi-assembly && rm -rf "$T"
manifest:
skills/bio-genome-assembly-hifi-assembly/SKILL.mdsafety · automated scan (low risk)
This is a pattern-based risk scan, not a security review. Our crawler flagged:
- shell exec via library
Always read a skill's source content before installing. Patterns alone don't mean the skill is malicious — but they warrant attention.
source content
<!--
# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
-->
name: bio-genome-assembly-hifi-assembly description: High-quality genome assembly from PacBio HiFi reads using hifiasm with phasing support. Use when building reference-quality diploid assemblies from HiFi data, especially with trio or Hi-C phasing for fully resolved haplotypes. tool_type: cli primary_tool: hifiasm measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
HiFi Assembly
Basic Assembly
# Primary assembly (single haplotype consensus) hifiasm -o output_prefix -t 32 reads.hifi.fastq.gz # Output files: # output_prefix.bp.p_ctg.gfa - Primary contigs # output_prefix.bp.a_ctg.gfa - Alternate contigs # output_prefix.bp.hap1.p_ctg.gfa - Haplotype 1 (if phased) # output_prefix.bp.hap2.p_ctg.gfa - Haplotype 2 (if phased) # Convert GFA to FASTA awk '/^S/{print ">"$2;print $3}' output_prefix.bp.p_ctg.gfa > assembly.fasta
Trio-Binned Phasing
# With parental short reads for trio binning hifiasm -o trio_asm -t 32 \ -1 paternal.yak \ -2 maternal.yak \ child.hifi.fastq.gz # Create yak databases from parental Illumina reads first yak count -b37 -t16 -o paternal.yak paternal_R1.fq.gz paternal_R2.fq.gz yak count -b37 -t16 -o maternal.yak maternal_R1.fq.gz maternal_R2.fq.gz
Hi-C Phasing
# Use Hi-C reads for phasing (no parents needed) hifiasm -o hic_asm -t 32 \ --h1 hic_R1.fastq.gz \ --h2 hic_R2.fastq.gz \ reads.hifi.fastq.gz # Produces fully phased hap1 and hap2 assemblies
Key Parameters
| Parameter | Default | Description |
|---|---|---|
| -t | 1 | Threads |
| -l | 0 | Purge level (0=none, 1=light, 2=aggressive) |
| -s | 0.55 | Similarity threshold for duplicate detection |
| --primary | - | Output primary contigs only (no alternates) |
| --n-hap | 2 | Expected number of haplotypes |
| -D | 5.0 | Drop reads with depth > D*average |
| -N | 100 | Consider up to N overlaps for each read |
Purge Duplicates
# Aggressive purging for high heterozygosity hifiasm -o asm -t 32 -l 2 reads.hifi.fastq.gz # Minimal purging for inbred samples hifiasm -o asm -t 32 -l 0 reads.hifi.fastq.gz
Ultra-Long ONT Integration
# Combine HiFi accuracy with ONT length hifiasm -o hybrid_asm -t 32 \ --ul ont_ultralong.fastq.gz \ hifi_reads.fastq.gz # UL reads help span complex repeats
Assembly Stats
# Quick stats with seqkit seqkit stats assembly.fasta # Detailed with assembly-stats assembly-stats assembly.fasta # QUAST assessment quast.py -o quast_output assembly.fasta # BUSCO completeness busco -i assembly.fasta -l mammalia_odb10 -o busco_out -m genome
Memory and Runtime
| Genome Size | HiFi Coverage | RAM | Time (32 cores) |
|---|---|---|---|
| 3 Gb | 30x | ~200 GB | 12-24 hours |
| 3 Gb | 60x | ~400 GB | 24-48 hours |
| 500 Mb | 40x | ~64 GB | 2-4 hours |
Python Wrapper
import subprocess from pathlib import Path def run_hifiasm(hifi_reads, output_prefix, threads=32, purge_level=0, hic_r1=None, hic_r2=None, ul_reads=None): cmd = ['hifiasm', '-o', output_prefix, '-t', str(threads), '-l', str(purge_level)] if hic_r1 and hic_r2: cmd.extend(['--h1', hic_r1, '--h2', hic_r2]) if ul_reads: cmd.extend(['--ul', ul_reads]) cmd.append(hifi_reads) subprocess.run(cmd, check=True) gfa = Path(f'{output_prefix}.bp.p_ctg.gfa') fasta = Path(f'{output_prefix}.fasta') with open(fasta, 'w') as out: with open(gfa) as f: for line in f: if line.startswith('S'): parts = line.strip().split('\t') out.write(f'>{parts[1]}\n{parts[2]}\n') return fasta # Example assembly = run_hifiasm('sample.hifi.fq.gz', 'sample_asm', threads=48, hic_r1='hic_R1.fq.gz', hic_r2='hic_R2.fq.gz')
Troubleshooting
| Issue | Solution |
|---|---|
| High duplication | Increase purge level (-l 2) |
| Missing haplotypes | Add Hi-C or trio data for phasing |
| Memory errors | Reduce -D parameter or downsample reads |
| Fragmented assembly | Check read quality; consider UL ONT addition |
Related Skills
- genome-assembly/assembly-qc - QUAST and BUSCO
- genome-assembly/scaffolding - YaHS Hi-C scaffolding
- genome-assembly/contamination-detection - CheckM2 decontamination
- long-read-sequencing/read-qc - HiFi quality control