bio-read-qc-fastp-workflow
All-in-one read preprocessing with fastp including adapter trimming, quality filtering, deduplication, base correction, and HTML report generation. Use when preprocessing Illumina data and wanting a single fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps.
What this skill does
## Version Compatibility
Reference examples tested with: FastQC 0.12+, fastp 0.23+
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
- 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.
# fastp Workflow
All-in-one preprocessing tool that handles adapter trimming, quality filtering, deduplication, and report generation in a single pass.
**"Preprocess FASTQ reads with fastp"** -> Run adapter trimming, quality filtering, and QC reporting in a single pass.
- CLI: `fastp -i R1.fq -I R2.fq -o clean_R1.fq -O clean_R2.fq --html report.html`
## Basic Usage
### Single-End
```bash
fastp -i input.fastq.gz -o output.fastq.gz
```
### Paired-End
```bash
fastp -i R1.fastq.gz -I R2.fastq.gz -o R1_clean.fastq.gz -O R2_clean.fastq.gz
```
### With Custom HTML/JSON Reports
```bash
fastp -i R1.fq.gz -I R2.fq.gz \
-o R1_clean.fq.gz -O R2_clean.fq.gz \
-h sample_report.html \
-j sample_report.json
```
## Adapter Trimming
fastp auto-detects Illumina adapters by default.
```bash
# Auto-detect (default)
fastp -i in.fq -o out.fq
# Specify adapters manually
fastp -i in.fq -o out.fq \
--adapter_sequence AGATCGGAAGAGCACACGTCTGAACTCCAGTCA
# Paired-end with manual adapters
fastp -i R1.fq -I R2.fq -o R1.out.fq -O R2.out.fq \
--adapter_sequence AGATCGGAAGAGCACACGTCTGAACTCCAGTCA \
--adapter_sequence_r2 AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT
# Disable adapter trimming
fastp -i in.fq -o out.fq --disable_adapter_trimming
# Adapter FASTA file
fastp -i in.fq -o out.fq --adapter_fasta adapters.fa
```
## Quality Filtering
```bash
# Per-base quality threshold (default Q15)
fastp -i in.fq -o out.fq -q 20
# Mean read quality threshold
fastp -i in.fq -o out.fq -e 25
# Max unqualified bases percent (default 40)
fastp -i in.fq -o out.fq -q 20 --unqualified_percent_limit 30
# Disable quality filtering
fastp -i in.fq -o out.fq --disable_quality_filtering
```
## Quality Trimming
```bash
# Sliding window from 3' end (recommended)
fastp -i in.fq -o out.fq \
--cut_right \
--cut_right_window_size 4 \
--cut_right_mean_quality 20
# Sliding window from 5' end
fastp -i in.fq -o out.fq \
--cut_front \
--cut_front_window_size 4 \
--cut_front_mean_quality 20
# Both ends
fastp -i in.fq -o out.fq \
--cut_front --cut_tail \
--cut_front_window_size 4 \
--cut_front_mean_quality 20 \
--cut_tail_window_size 4 \
--cut_tail_mean_quality 20
```
## Length Filtering
```bash
# Minimum length (default 15)
fastp -i in.fq -o out.fq -l 36
# Maximum length
fastp -i in.fq -o out.fq --length_limit 150
# Required length (discard shorter AND longer)
fastp -i in.fq -o out.fq -l 100 --length_limit 100
```
## Poly-X Trimming
```bash
# Trim poly-G (NovaSeq/NextSeq artifacts) - auto-enabled for these platforms
fastp -i in.fq -o out.fq --trim_poly_g
# Disable poly-G trimming
fastp -i in.fq -o out.fq --disable_trim_poly_g
# Trim poly-X (any homopolymer)
fastp -i in.fq -o out.fq --trim_poly_x
# Custom poly-G minimum length (default 10)
fastp -i in.fq -o out.fq --trim_poly_g --poly_g_min_len 5
```
## N Base Handling
```bash
# Max N bases (default 5)
fastp -i in.fq -o out.fq -n 3
# Disable N filtering
fastp -i in.fq -o out.fq --n_base_limit 50
```
## Deduplication
```bash
# Enable deduplication
fastp -i in.fq -o out.fq --dedup
# Accuracy level (1-6, higher = more memory, default 3)
fastp -i in.fq -o out.fq --dedup --dup_calc_accuracy 4
```
## Base Correction (Paired-End Only)
```bash
# Enable overlap-based correction
fastp -i R1.fq -I R2.fq -o R1.out.fq -O R2.out.fq --correction
# Required overlap length (default 30)
fastp -i R1.fq -I R2.fq -o R1.out.fq -O R2.out.fq \
--correction --overlap_len_require 20
```
## Paired-End Merge
```bash
# Merge overlapping paired reads
fastp -i R1.fq -I R2.fq \
--merge --merged_out merged.fq \
-o R1_unmerged.fq -O R2_unmerged.fq
```
## UMI Processing
```bash
# UMI in read (extract to header)
fastp -i in.fq -o out.fq \
--umi --umi_loc read1 --umi_len 8
# UMI in separate read
fastp -i R1.fq -I R2.fq -o R1.out.fq -O R2.out.fq \
--umi --umi_loc index1
# UMI locations: index1, index2, read1, read2, per_index, per_read
```
## Complete Workflow Example
### Standard Illumina Pipeline
```bash
fastp \
-i raw_R1.fastq.gz -I raw_R2.fastq.gz \
-o clean_R1.fastq.gz -O clean_R2.fastq.gz \
--detect_adapter_for_pe \
--cut_right --cut_right_window_size 4 --cut_right_mean_quality 20 \
-q 20 -l 36 \
--thread 8 \
-h sample_fastp.html -j sample_fastp.json
```
### NovaSeq/NextSeq Pipeline
```bash
fastp \
-i raw_R1.fastq.gz -I raw_R2.fastq.gz \
-o clean_R1.fastq.gz -O clean_R2.fastq.gz \
--detect_adapter_for_pe \
--trim_poly_g \
--cut_right --cut_right_window_size 4 --cut_right_mean_quality 20 \
-q 20 -l 36 \
--thread 8 \
-h sample_fastp.html -j sample_fastp.json
```
### RNA-seq Pipeline
```bash
fastp \
-i raw_R1.fastq.gz -I raw_R2.fastq.gz \
-o clean_R1.fastq.gz -O clean_R2.fastq.gz \
--detect_adapter_for_pe \
--cut_right --cut_right_window_size 4 --cut_right_mean_quality 20 \
-q 20 -l 50 \
--thread 8 \
-h sample_fastp.html -j sample_fastp.json
```
## Output Files
| File | Description |
|------|-------------|
| `*.html` | Interactive HTML report |
| `*.json` | Machine-readable statistics |
| Output FASTQ | Processed reads |
## JSON Report Structure
```python
import json
with open('sample_fastp.json') as f:
report = json.load(f)
summary = report['summary']
print(f"Total reads: {summary['before_filtering']['total_reads']}")
print(f"Passed reads: {summary['after_filtering']['total_reads']}")
print(f"Q20 rate: {summary['after_filtering']['q20_rate']:.2%}")
print(f"Q30 rate: {summary['after_filtering']['q30_rate']:.2%}")
```
## Performance
```bash
# Set threads (default 3)
fastp -i in.fq -o out.fq --thread 8
# Disable HTML report (faster)
fastp -i in.fq -o out.fq --html /dev/null
# Process from stdin
zcat in.fq.gz | fastp --stdin -o out.fq
```
## Related Skills
- quality-reports - MultiQC can aggregate fastp JSON reports
- adapter-trimming - Cutadapt for complex adapter scenarios
- quality-filtering - Trimmomatic alternative
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