---

name: bio-workflows-genome-assembly-pipeline description: End-to-end genome assembly workflow from reads to polished assembly with QC. Supports short reads (SPAdes), long reads (Flye), and hybrid approaches. Use when assembling genomes from raw reads. tool_type: cli primary_tool: Flye workflow: true depends_on:

• read-qc/fastp-workflow
• genome-assembly/short-read-assembly
• genome-assembly/long-read-assembly
• genome-assembly/assembly-polishing
• genome-assembly/assembly-qc qc_checkpoints:
• after_assembly: "N50 reasonable, total length matches expected"
• after_polishing: "Error rate reduced, QV improved"
• after_busco: "Complete BUSCOs >90%"

---

Genome Assembly Pipeline

Complete workflow from sequencing reads to polished, quality-assessed genome assembly.

Workflow Overview

CopyReads (short and/or long)
    |
    v
[1. QC & Filtering] -----> fastp, NanoPlot
    |
    v
[2. Assembly] -----------> SPAdes (short) or Flye (long)
    |
    v
[3. Polishing] ----------> Pilon (short) or medaka (long)
    |
    v
[4. QC Assessment] ------> QUAST, BUSCO
    |
    v
Final polished assembly

Path A: Short-Read Assembly (SPAdes)

Step 1: QC

Copyfastp -i reads_R1.fastq.gz -I reads_R2.fastq.gz \
    -o trimmed_R1.fq.gz -O trimmed_R2.fq.gz \
    --detect_adapter_for_pe \
    --qualified_quality_phred 20 \
    --length_required 50 \
    --html qc_report.html

Step 2: Assembly with SPAdes

Copy# Standard bacterial assembly
spades.py \
    -1 trimmed_R1.fq.gz \
    -2 trimmed_R2.fq.gz \
    -o spades_output \
    --careful \
    -t 16 \
    -m 64

# For isolate genomes
spades.py --isolate \
    -1 trimmed_R1.fq.gz \
    -2 trimmed_R2.fq.gz \
    -o spades_output \
    -t 16

Step 3: Polishing with Pilon

Copy# Align reads to assembly
bwa index spades_output/scaffolds.fasta
bwa mem -t 16 spades_output/scaffolds.fasta \
    trimmed_R1.fq.gz trimmed_R2.fq.gz | \
    samtools sort -@ 4 -o aligned.bam
samtools index aligned.bam

# Polish
pilon --genome spades_output/scaffolds.fasta \
    --frags aligned.bam \
    --output polished \
    --threads 16

Path B: Long-Read Assembly (Flye)

Step 1: QC

Copy# NanoPlot for long-read QC
NanoPlot --fastq reads.fastq.gz \
    --outdir nanoplot_output \
    --threads 8

Step 2: Assembly with Flye

Copy# ONT raw reads
flye --nano-raw reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# ONT HQ reads (sup/dna_r10)
flye --nano-hq reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# PacBio HiFi
flye --pacbio-hifi reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

Step 3: Polishing with medaka

Copy# Polish with medaka (for ONT)
medaka_consensus \
    -i reads.fastq.gz \
    -d flye_output/assembly.fasta \
    -o medaka_output \
    -t 16 \
    -m r1041_e82_400bps_sup_v4.3.0  # Match your basecalling model

Path C: Hybrid Assembly

Copy# Flye with long reads, then polish with short reads
flye --nano-hq long_reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# Polish with short reads using Pilon
bwa index flye_output/assembly.fasta
bwa mem -t 16 flye_output/assembly.fasta \
    short_R1.fq.gz short_R2.fq.gz | \
    samtools sort -@ 4 -o aligned.bam
samtools index aligned.bam

pilon --genome flye_output/assembly.fasta \
    --frags aligned.bam \
    --output hybrid_polished \
    --threads 16

Step 4: Quality Assessment

QUAST

Copyquast.py polished.fasta \
    -r reference.fasta \
    -g genes.gff \
    -o quast_output \
    -t 8

# Without reference
quast.py polished.fasta \
    -o quast_output \
    -t 8

BUSCO

Copy# Download lineage database
busco --download bacteria_odb10

# Run BUSCO
busco -i polished.fasta \
    -l bacteria_odb10 \
    -o busco_output \
    -m genome \
    -c 8

Parameter Recommendations

Troubleshooting

Complete Pipeline Script

Copy#!/bin/bash
set -e

THREADS=16
GENOME_SIZE="5m"
LONG_READS="long_reads.fastq.gz"
SHORT_R1="short_R1.fastq.gz"
SHORT_R2="short_R2.fastq.gz"
BUSCO_LINEAGE="bacteria_odb10"
OUTDIR="assembly_results"

mkdir -p ${OUTDIR}/{qc,assembly,polished,quast,busco}

# Step 1: QC
echo "=== QC ==="
NanoPlot --fastq ${LONG_READS} --outdir ${OUTDIR}/qc/nanoplot -t ${THREADS}
fastp -i ${SHORT_R1} -I ${SHORT_R2} \
    -o ${OUTDIR}/qc/short_R1.fq.gz -O ${OUTDIR}/qc/short_R2.fq.gz \
    --html ${OUTDIR}/qc/fastp.html

# Step 2: Assembly with Flye
echo "=== Assembly ==="
flye --nano-hq ${LONG_READS} \
    --out-dir ${OUTDIR}/assembly \
    --threads ${THREADS} \
    --genome-size ${GENOME_SIZE}

# Step 3: Polish with short reads
echo "=== Polishing ==="
bwa index ${OUTDIR}/assembly/assembly.fasta
bwa mem -t ${THREADS} ${OUTDIR}/assembly/assembly.fasta \
    ${OUTDIR}/qc/short_R1.fq.gz ${OUTDIR}/qc/short_R2.fq.gz | \
    samtools sort -@ 4 -o ${OUTDIR}/polished/aligned.bam
samtools index ${OUTDIR}/polished/aligned.bam

pilon --genome ${OUTDIR}/assembly/assembly.fasta \
    --frags ${OUTDIR}/polished/aligned.bam \
    --output ${OUTDIR}/polished/final \
    --threads ${THREADS}

# Step 4: QC
echo "=== Quality Assessment ==="
quast.py ${OUTDIR}/polished/final.fasta -o ${OUTDIR}/quast -t ${THREADS}
busco -i ${OUTDIR}/polished/final.fasta -l ${BUSCO_LINEAGE} \
    -o busco -m genome -c ${THREADS} --out_path ${OUTDIR}

echo "=== Assembly Complete ==="
echo "Final assembly: ${OUTDIR}/polished/final.fasta"
cat ${OUTDIR}/quast/report.txt

Related Skills

• genome-assembly/short-read-assembly - SPAdes details
• genome-assembly/long-read-assembly - Flye, Canu, Hifiasm
• genome-assembly/assembly-polishing - Pilon, medaka, Racon
• genome-assembly/assembly-qc - QUAST, BUSCO metrics