bio-genome-assembly-assembly-polishing

SkillDev tools

Lets your agent polish and improve DNA genome assemblies using bioinformatics steps.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the bio-genome-assembly-assembly-polishing skill

About this capability

The largest open-source medical AI skills library for OpenClaw🦞.

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/bio-genome-assembly-assembly-polishing/SKILL.md and read by ahel’s review.


name: bio-genome-assembly-assembly-polishing description: Polish genome assemblies to reduce errors using short reads (Pilon), long reads (Racon), or ONT-specific tools (medaka). Essential for improving long-read assembly accuracy. Use when improving assembly accuracy with polishing tools. tool_type: cli primary_tool: Pilon measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:

  • read_file
  • run_shell_command

Assembly Polishing

Improve assembly accuracy by correcting errors using additional sequencing data.

Polishing Strategies

ToolInput ReadsBest For
PilonIlluminaFinal polishing
medakaONTONT assemblies
RaconLong readsQuick polishing
NextPolishBothCombined approach

Recommended Workflows

ONT Assembly

  1. Racon (2-3 rounds with ONT)
  2. medaka (1 round)
  3. Pilon (2-3 rounds with Illumina)

PacBio CLR Assembly

  1. Racon (2-3 rounds)
  2. Pilon (2-3 rounds with Illumina)

PacBio HiFi Assembly

  • Often no polishing needed (>99% accuracy)
  • Optional Pilon if Illumina available

Pilon (Illumina Polishing)

Installation

conda install -c bioconda pilon

Basic Usage

# Map short reads to assembly
bwa index assembly.fasta
bwa mem -t 16 assembly.fasta R1.fq.gz R2.fq.gz | samtools sort -o aligned.bam
samtools index aligned.bam

# Run Pilon
pilon --genome assembly.fasta --frags aligned.bam --output polished

Key Options

OptionDescription
--genomeInput assembly
--fragsPaired-end BAM
--outputOutput prefix
--changesWrite changes file
--vcfWrite VCF of changes
--fixWhat to fix (snps, indels, gaps, all)
--threadsThreads for alignment
--mindepthMin depth for correction

Multiple Rounds

#!/bin/bash
ASSEMBLY=$1
R1=$2
R2=$3
ROUNDS=${4:-3}

current=$ASSEMBLY

for i in $(seq 1 $ROUNDS); do
    echo "=== Pilon round $i ==="
    bwa index $current
    bwa mem -t 16 $current $R1 $R2 | samtools sort -o round${i}.bam
    samtools index round${i}.bam

    pilon --genome $current --frags round${i}.bam --output pilon_round${i} --changes

    current=pilon_round${i}.fasta

    changes=$(wc -l < pilon_round${i}.changes)
    echo "Changes made: $changes"

    if [ $changes -eq 0 ]; then
        echo "No more changes, stopping"
        break
    fi
done

cp $current final_polished.fasta

Fix Specific Issues

# Only fix SNPs and small indels
pilon --genome assembly.fa --frags aligned.bam --output polished --fix snps,indels

# Only fill gaps
pilon --genome assembly.fa --frags aligned.bam --output polished --fix gaps

medaka (ONT Polishing)

Installation

conda install -c bioconda medaka

Basic Usage

medaka_consensus -i reads.fastq.gz -d assembly.fasta -o medaka_output -t 8

Key Options

OptionDescription
-iInput reads
-dDraft assembly
-oOutput directory
-tThreads
-mModel name

Model Selection

# List available models
medaka tools list_models

# Use specific model (match your basecaller)
medaka_consensus -i reads.fq.gz -d assembly.fa -o output -m r1041_e82_400bps_sup_v5.1.0

Models for Common Chemistries

ChemistryModel
R10.4.1 + SUPr1041_e82_400bps_sup_*
R10.4.1 + HACr1041_e82_400bps_hac_*
R9.4.1 + SUPr941_sup_*

Output

medaka_output/
├── consensus.fasta    # Polished assembly
├── calls_to_draft.bam # Alignments
└── *.hdf              # Intermediate files

Racon (Long-Read Polishing)

Installation

conda install -c bioconda racon

Basic Usage

# Map reads to assembly
minimap2 -ax map-ont assembly.fasta reads.fastq.gz > aligned.sam

# Polish
racon -t 16 reads.fastq.gz aligned.sam assembly.fasta > polished.fasta

Multiple Rounds

#!/bin/bash
ASSEMBLY=$1
READS=$2
ROUNDS=${3:-3}

current=$ASSEMBLY

for i in $(seq 1 $ROUNDS); do
    echo "=== Racon round $i ==="
    minimap2 -ax map-ont $current $READS > round${i}.sam
    racon -t 16 $READS round${i}.sam $current > racon_round${i}.fasta
    current=racon_round${i}.fasta
done

cp $current racon_polished.fasta

Key Options

OptionDescription
-tThreads
-mMatch score (default: 3)
-xMismatch score (default: -5)
-gGap penalty (default: -4)
-wWindow size (default: 500)

Complete Polishing Workflow

ONT Assembly Polishing

#!/bin/bash
set -euo pipefail

ASSEMBLY=$1      # Flye assembly
ONT_READS=$2     # ONT reads
ILLUMINA_R1=$3   # Illumina R1
ILLUMINA_R2=$4   # Illumina R2
OUTDIR=$5

mkdir -p $OUTDIR

# Step 1: Racon polishing (2 rounds)
echo "=== Racon Polishing ==="
current=$ASSEMBLY
for i in 1 2; do
    minimap2 -ax map-ont $current $ONT_READS > ${OUTDIR}/racon_${i}.sam
    racon -t 16 $ONT_READS ${OUTDIR}/racon_${i}.sam $current > ${OUTDIR}/racon_${i}.fasta
    current=${OUTDIR}/racon_${i}.fasta
done

# Step 2: medaka polishing
echo "=== medaka Polishing ==="
medaka_consensus -i $ONT_READS -d $current -o ${OUTDIR}/medaka -t 8
current=${OUTDIR}/medaka/consensus.fasta

# Step 3: Pilon polishing (2 rounds)
echo "=== Pilon Polishing ==="
for i in 1 2; do
    bwa index $current
    bwa mem -t 16 $current $ILLUMINA_R1 $ILLUMINA_R2 | samtools sort -o ${OUTDIR}/pilon_${i}.bam
    samtools index ${OUTDIR}/pilon_${i}.bam
    pilon --genome $current --frags ${OUTDIR}/pilon_${i}.bam --output ${OUTDIR}/pilon_${i}
    current=${OUTDIR}/pilon_${i}.fasta
done

cp $current ${OUTDIR}/final_polished.fasta
echo "Done: ${OUTDIR}/final_polished.fasta"

NextPolish (Combined Approach)

Installation

conda install -c bioconda nextpolish

Usage

# Create config file
cat > run.cfg << EOF
[General]
job_type = local
job_prefix = nextPolish
task = best
rewrite = yes
rerun = 3
parallel_jobs = 2
multithread_jobs = 8
genome = assembly.fasta
genome_size = auto
workdir = ./01_rundir
[lgs_option]
lgs_fofn = lgs.fofn
lgs_options = -min_read_len 1k -max_depth 100
lgs_minimap2_options = -x map-ont
[sgs_option]
sgs_fofn = sgs.fofn
sgs_options = -max_depth 100
EOF

# File of filenames
ls reads.fastq.gz > lgs.fofn
ls R1.fq.gz R2.fq.gz > sgs.fofn

# Run
nextPolish run.cfg

Quality Assessment

After polishing, assess improvement:

# Compare to reference (if available)
quast.py -r reference.fa original.fa polished.fa -o quast_comparison

# Check error rate
minimap2 -ax map-ont polished.fa reads.fq.gz | samtools stats | grep "error rate"

Related Skills

  • long-read-assembly - Initial assembly
  • short-read-assembly - Source of polishing reads
  • assembly-qc - Assess polishing improvement
  • long-read-sequencing - medaka variant calling

Signals

GitHub stars
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Forks
407
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
bio-genome-assembly-assembly-polishing-freedomintelligence
Source
github.com/freedomintelligence/openclaw-medical-skills