bio-duplicate-handling
SkillDev toolsLets your agent find and handle duplicate entries in biological or medical data.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the bio-duplicate-handling 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-duplicate-handling/SKILL.md and read by ahel’s review.
name: bio-duplicate-handling description: Mark and remove PCR/optical duplicates using samtools fixmate and markdup. Use when preparing alignments for variant calling or when duplicate reads would bias analysis. tool_type: cli primary_tool: samtools measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools:
- read_file
- run_shell_command
Duplicate Handling
Mark and remove PCR/optical duplicates using samtools.
Why Remove Duplicates?
PCR duplicates are identical copies of the same original molecule, created during library preparation. They:
- Inflate coverage artificially
- Bias allele frequencies
- Can create false positive variant calls
Optical duplicates are clusters read multiple times due to their proximity on the flowcell.
Duplicate Marking Workflow
The standard samtools workflow requires multiple steps:
# 1. Sort by name (required for fixmate)
samtools sort -n -o namesort.bam input.bam
# 2. Add mate information with fixmate
samtools fixmate -m namesort.bam fixmate.bam
# 3. Sort by coordinate (required for markdup)
samtools sort -o coordsort.bam fixmate.bam
# 4. Mark duplicates
samtools markdup coordsort.bam marked.bam
# 5. Index result
samtools index marked.bam
Pipeline Version
samtools sort -n input.bam | \
samtools fixmate -m - - | \
samtools sort - | \
samtools markdup - marked.bam
samtools index marked.bam
samtools fixmate
Adds mate information required by markdup. Must be run on name-sorted BAM.
Basic Usage
samtools fixmate namesorted.bam fixmate.bam
Add Mate Score Tag (-m)
# Required for markdup to work correctly
samtools fixmate -m namesorted.bam fixmate.bam
Multi-threaded
samtools fixmate -m -@ 4 namesorted.bam fixmate.bam
Remove Secondary/Unmapped
samtools fixmate -r -m namesorted.bam fixmate.bam
samtools markdup
Marks or removes duplicate alignments. Requires coordinate-sorted BAM with mate tags from fixmate.
Mark Duplicates (Keep in File)
samtools markdup input.bam marked.bam
Remove Duplicates
samtools markdup -r input.bam deduped.bam
Output Statistics
samtools markdup -s input.bam marked.bam 2> markdup_stats.txt
Optical Duplicate Distance
# Set pixel distance for optical duplicate detection (default: 100)
samtools markdup -d 2500 input.bam marked.bam
Multi-threaded
samtools markdup -@ 4 input.bam marked.bam
Write Stats to File
samtools markdup -f stats.txt input.bam marked.bam
Duplicate Statistics
Check Duplicate Rate
samtools flagstat marked.bam
# Look for "duplicates" line
Count Duplicates
# Count reads with duplicate flag
samtools view -c -f 1024 marked.bam
Percentage Duplicates
total=$(samtools view -c marked.bam)
dups=$(samtools view -c -f 1024 marked.bam)
echo "scale=2; $dups * 100 / $total" | bc
pysam Python Alternative
Full Pipeline
import pysam
# Sort by name
pysam.sort('-n', '-o', 'namesort.bam', 'input.bam')
# Fixmate
pysam.fixmate('-m', 'namesort.bam', 'fixmate.bam')
# Sort by coordinate
pysam.sort('-o', 'coordsort.bam', 'fixmate.bam')
# Mark duplicates
pysam.markdup('coordsort.bam', 'marked.bam')
# Index
pysam.index('marked.bam')
Check Duplicate Flag
import pysam
with pysam.AlignmentFile('marked.bam', 'rb') as bam:
total = 0
duplicates = 0
for read in bam:
total += 1
if read.is_duplicate:
duplicates += 1
print(f'Total: {total}')
print(f'Duplicates: {duplicates}')
print(f'Rate: {duplicates/total*100:.2f}%')
Filter Out Duplicates
import pysam
with pysam.AlignmentFile('marked.bam', 'rb') as infile:
with pysam.AlignmentFile('nodup.bam', 'wb', header=infile.header) as outfile:
for read in infile:
if not read.is_duplicate:
outfile.write(read)
Mark Duplicates Manually (Simple Case)
import pysam
from collections import defaultdict
def simple_markdup(input_bam, output_bam):
seen = defaultdict(set)
with pysam.AlignmentFile(input_bam, 'rb') as infile:
with pysam.AlignmentFile(output_bam, 'wb', header=infile.header) as outfile:
for read in infile:
if read.is_unmapped:
outfile.write(read)
continue
key = (read.reference_id, read.reference_start, read.is_reverse,
read.next_reference_id, read.next_reference_start)
if key in seen:
read.is_duplicate = True
else:
seen[key].add(read.query_name)
outfile.write(read)
simple_markdup('sorted.bam', 'marked.bam')
Alternative: From Aligner
Some aligners can mark duplicates directly:
BWA-MEM2 with samblaster
bwa-mem2 mem ref.fa R1.fq R2.fq | \
samblaster | \
samtools sort -o marked.bam
Using Picard (Alternative Tool)
java -jar picard.jar MarkDuplicates \
I=input.bam \
O=marked.bam \
M=metrics.txt
Quick Reference
| Task | Command |
|---|---|
| Full workflow | sort -n | fixmate -m | sort | markdup |
| Mark duplicates | samtools markdup in.bam out.bam |
| Remove duplicates | samtools markdup -r in.bam out.bam |
| Count duplicates | samtools view -c -f 1024 marked.bam |
| View non-duplicates | samtools view -F 1024 marked.bam |
| Get stats | samtools markdup -s in.bam out.bam |
Duplicate FLAG
| Flag | Value | Meaning |
|---|---|---|
| 0x400 | 1024 | PCR or optical duplicate |
Filter Commands
# View only duplicates
samtools view -f 1024 marked.bam
# View non-duplicates only
samtools view -F 1024 marked.bam
# Count non-duplicates
samtools view -c -F 1024 marked.bam
Common Errors
| Error | Cause | Solution |
|---|---|---|
mate not found | Input not name-sorted | Run samtools sort -n first |
no MC tag | fixmate not run with -m | Re-run fixmate with -m flag |
not coordinate sorted | Input to markdup not sorted | Run samtools sort after fixmate |
Related Skills
- alignment-sorting - Sort by name/coordinate for workflow
- alignment-filtering - Filter duplicates from output
- bam-statistics - Check duplicate rates with flagstat
- variant-calling - Duplicate marking before calling
Signals
- GitHub stars
- 3k
- Forks
- 407
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
bio-duplicate-handling- Source
- github.com/freedomintelligence/openclaw-medical-skills