| 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%"}] |
Version Compatibility
Reference examples tested with: BUSCO 5.5+, BWA 0.7.17+, Flye 2.9+, QUAST 5.2+, SPAdes 3.15+, fastp 0.23+, samtools 1.19+
Before using code patterns, verify installed versions match. If versions differ:
- CLI:
<tool> --version then <tool> --help to confirm flags
If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.
Genome Assembly Pipeline
"Assemble and polish a genome from my sequencing reads" → Orchestrate read QC, assembly (hifiasm, Flye, SPAdes), polishing (Medaka, Pilon), scaffolding, contamination detection (BlobToolKit), and quality assessment (QUAST, BUSCO).
Complete workflow from sequencing reads to polished, quality-assessed genome assembly.
Workflow Overview
Reads (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
fastp -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
spades.py \
-1 trimmed_R1.fq.gz \
-2 trimmed_R2.fq.gz \
-o spades_output \
--careful \
-t 16 \
-m 64
spades.py --isolate \
-1 trimmed_R1.fq.gz \
-2 trimmed_R2.fq.gz \
-o spades_output \
-t 16
Step 3: Polishing with Pilon
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
pilon --genome spades_output/scaffolds.fasta \
--frags aligned.bam \
--output polished \
--threads 16
Path B: Long-Read Assembly (Flye)
Step 1: QC
NanoPlot --fastq reads.fastq.gz \
--outdir nanoplot_output \
--threads 8
Step 2: Assembly with Flye
flye --nano-raw reads.fastq.gz \
--out-dir flye_output \
--threads 16 \
--genome-size 5m
flye --nano-hq reads.fastq.gz \
--out-dir flye_output \
--threads 16 \
--genome-size 5m
flye --pacbio-hifi reads.fastq.gz \
--out-dir flye_output \
--threads 16 \
--genome-size 5m
Step 3: Polishing with medaka
medaka_consensus \
-i reads.fastq.gz \
-d flye_output/assembly.fasta \
-o medaka_output \
-t 16 \
-m r1041_e82_400bps_sup_v4.3.0
Path C: Hybrid Assembly
flye --nano-hq long_reads.fastq.gz \
--out-dir flye_output \
--threads 16 \
--genome-size 5m
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
quast.py polished.fasta \
-r reference.fasta \
-g genes.gff \
-o quast_output \
-t 8
quast.py polished.fasta \
-o quast_output \
-t 8
BUSCO
busco --download bacteria_odb10
busco -i polished.fasta \
-l bacteria_odb10 \
-o busco_output \
-m genome \
-c 8
Parameter Recommendations
| Tool | Parameter | Bacteria | Eukaryote |
|---|
| SPAdes | --careful | Yes | Optional |
| SPAdes | -m | 64GB | 256GB+ |
| Flye | --genome-size | 5m | Species-specific |
| Flye | --meta | If metagenome | No |
| BUSCO | -l | bacteria_odb10 | eukaryota_odb10 |
Troubleshooting
| Issue | Likely Cause | Solution |
|---|
| Fragmented assembly | Low coverage, repetitive genome | Increase coverage, use long reads |
| Low N50 | Short reads only | Add long reads for scaffolding |
| Low BUSCO | Incomplete assembly, wrong lineage | Check coverage, try different lineage |
| Assembly too large | Contamination, heterozygosity | Filter reads, check for contamination |
Complete Pipeline Script
#!/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}
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
echo "=== Assembly ==="
flye --nano-hq ${LONG_READS} \
--out-dir ${OUTDIR}/assembly \
--threads ${THREADS} \
--genome-size ${GENOME_SIZE}
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}
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