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openclaw-medical-skills
2.9k200 skills
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$ npx -y skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-alignment-sorting --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/bio-alignment-sorting

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The summary Claude sees to decide when to auto-load this skill.

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SKILL.md

bio-alignment-sorting.SKILL.md

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COPYRIGHT NOTICE

This file is part of the "Universal Biomedical Skills" project.

Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>

All Rights Reserved.

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This code is proprietary and confidential.

Unauthorized copying of this file, via any medium is strictly prohibited.

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Provenance: Authenticated by MD BABU MIA

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--- name: bio-alignment-sorting description: Sort alignment files by coordinate or read name using samtools and pysam. Use when preparing BAM files for indexing, variant calling, or paired-end 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

---

Alignment Sorting

Sort alignment files by coordinate or read name using samtools and pysam.

Sort Orders

| Order | Flag | Use Case | |-------|------|----------| | Coordinate | default | Indexing, visualization, variant calling | | Name | `-n` | Paired-end processing, fixmate, markdup | | Tag | `-t TAG` | Sort by specific tag value |

samtools sort

Sort by Coordinate (Default)

samtools sort -o sorted.bam input.bam

Sort by Read Name

samtools sort -n -o namesorted.bam input.bam

Multi-threaded Sorting

samtools sort -@ 8 -o sorted.bam input.bam

Control Memory Usage

samtools sort -m 4G -@ 4 -o sorted.bam input.bam

Set Temporary Directory

samtools sort -T /tmp/sort_tmp -o sorted.bam input.bam

Specify Output Format

# Output as BAM (default)
samtools sort -O bam -o sorted.bam input.bam

# Output as CRAM
samtools sort -O cram --reference ref.fa -o sorted.cram input.bam

Sort by Tag

# Sort by cell barcode (10x Genomics)
samtools sort -t CB -o sorted_by_barcode.bam input.bam

Pipe from Aligner

bwa mem ref.fa reads.fq | samtools sort -o aligned.bam

samtools collate

Group paired reads together without full sorting (faster than name sort for some workflows):

# Collate paired reads
samtools collate -o collated.bam input.bam

# With output prefix for temp files
samtools collate -O input.bam /tmp/collate > collated.bam

# Fast mode (output to stdout)
samtools collate -u -O input.bam /tmp/collate | samtools fastq -1 R1.fq -2 R2.fq -

Check Sort Order

From Header

samtools view -H input.bam | grep "^@HD"
# SO:coordinate = coordinate sorted
# SO:queryname = name sorted
# SO:unsorted = not sorted

Verify Sorted

# Check if coordinate sorted (returns 0 if sorted)
samtools view input.bam | awk '$4 < prev {exit 1} {prev=$4}'

pysam Python Alternative

Sort with pysam

import pysam

pysam.sort('-o', 'sorted.bam', 'input.bam')

Sort by Name

pysam.sort('-n', '-o', 'namesorted.bam', 'input.bam')

Sort with Options

pysam.sort('-@', '4', '-m', '2G', '-o', 'sorted.bam', 'input.bam')

Manual Sorting in Python

import pysam

with pysam.AlignmentFile('input.bam', 'rb') as infile:
    header = infile.header
    reads = list(infile)

reads.sort(key=lambda r: (r.reference_id, r.reference_start))

with pysam.AlignmentFile('sorted.bam', 'wb', header=header) as outfile:
    for read in reads:
        outfile.write(read)

Check Sort Order in pysam

import pysam

with pysam.AlignmentFile('input.bam', 'rb') as bam:
    hd = bam.header.get('HD', {})
    sort_order = hd.get('SO', 'unknown')
    print(f'Sort order: {sort_order}')

Stream Sort from Aligner

For streaming from aligners, use shell pipes (simpler and more reliable):

import subprocess

subprocess.run(
    'bwa mem ref.fa reads.fq | samtools sort -o aligned.bam',
    shell=True, check=True
)

Or use pysam with a named pipe:

import os
import pysam
import subprocess

os.mkfifo('aligner.pipe')
try:
    aligner = subprocess.Popen(['bwa', 'mem', 'ref.fa', 'reads.fq'],
                               stdout=open('aligner.pipe', 'w'))
    pysam.sort('-o', 'aligned.bam', 'aligner.pipe')
    aligner.wait()
finally:
    os.unlink('aligner.pipe')

samtools merge

Combine multiple BAM files into one.

Basic Merge

samtools merge merged.bam sample1.bam sample2.bam sample3.bam

Merge with Threads

samtools merge -@ 4 merged.bam sample1.bam sample2.bam sample3.bam

Merge from File List

# files.txt contains one BAM path per line
samtools merge -b files.txt merged.bam

Force Overwrite

samtools merge -f merged.bam sample1.bam sample2.bam

Merge Specific Region

samtools merge -R chr1:1000000-2000000 merged_region.bam sample1.bam sample2.bam

pysam Merge

import pysam

pysam.merge('-f', 'merged.bam', 'sample1.bam', 'sample2.bam', 'sample3.bam')

Common Workflows

Align and Sort

bwa mem -t 8 ref.fa R1.fq R2.fq | samtools sort -@ 4 -o aligned.bam
samtools index aligned.bam

Re-sort by Name for Duplicate Marking

# Full workflow: sort by name, fixmate, sort by coord, markdup
samtools sort -n -o namesorted.bam input.bam
samtools fixmate -m namesorted.bam fixmate.bam
samtools sort -o sorted.bam fixmate.bam
samtools markdup sorted.bam marked.bam

Convert Name-sorted to Coordinate-sorted

samtools sort -o coord_sorted.bam name_sorted.bam
samtools index coord_sorted.bam

Extract FASTQ from Sorted BAM

# Collate first to group pairs
samtools collate -u -O input.bam /tmp/collate | \
    samtools fastq -1 R1.fq -2 R2.fq -0 /dev/null -s /dev/null -

Performance Tips

| Parameter | Effect | |-----------|--------| | `-@ N` | Use N additional threads | | `-m SIZE` | Memory per thread (e.g., 4G) | | `-T PREFIX` | Temp file location (use fast disk) | | `-l LEVEL` | Compression level (1-9, default 6) |

Optimal Settings for Large Files

# Use 8 threads, 4GB per thread, low compression for speed
samtools
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