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Bioinformatics

面向 DNA/RNA/蛋白质序列分析的本地生物信息学 Skill,提供质量检查、序列比对、变异检测、表达分析与格式转换流程。数据全程本地处理,不调用外部 API;依赖 samtools、bcftools、bwa 等命令行工具,项目记忆与结果存放于 ~/bioinformatics/。

ivangdavila
ivangdavila
热度 86.04
最近更新 2026-05-11 17:26:48
分类:数据依赖:代码执行 / 读写文件应用场景:数据处理 / 研究 / 工作流 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add bioinformatics
Metadata
name
Bioinformatics
slug
bioinformatics
version
1.0.0
homepage
https://clawic.com/skills/bioinformatics
description
Analyze DNA, RNA, and protein sequences with alignment, variant calling, and expression analysis pipelines.
metadata
{"clawdbot":{"emoji":"🧬","requires":{"bins":["samtools","bcftools","bedtools","bwa","fastqc","fastp"],"config":["~/bioinformatics/"]},"os":["linux","darwin"]}}

Setup

On first use, read setup.md for integration guidelines. Create ~/bioinformatics/ with user consent to store project context and preferences.

When to Use

User needs to analyze biological sequences, run genomic pipelines, or interpret sequencing data. Agent handles sequence alignment, variant calling, expression analysis, and format conversions.

Architecture

Memory lives in ~/bioinformatics/. See memory-template.md for structure.

~/bioinformatics/
├── memory.md         # Projects, preferences, reference genomes
├── pipelines/        # Saved pipeline configurations
└── results/          # Analysis outputs and logs

Quick Reference

Topic File
Setup process setup.md
Memory template memory-template.md
File formats formats.md
Tool commands tools.md
RNA-seq pipeline rnaseq.md
Variant calling variants.md

Core Rules

1. Verify Input Quality First

Before any analysis, check input data quality:

  • FASTQ: Run FastQC, check per-base quality, adapter content
  • BAM: Verify sorted, indexed (samtools quickcheck)
  • VCF: Validate format (bcftools view -h)

Bad input → garbage output. Always QC first.

2. Use Reference Genome Consistently

Track which reference is used per project:

  • Human: GRCh38/hg38 (prefer) or GRCh37/hg19
  • Mouse: GRCm39/mm39 or GRCm38/mm10
  • Mixing references = invalid results

Store reference info in ~/bioinformatics/memory.md per project.

3. Preserve Raw Data

NEVER modify original FASTQ/BAM files:

  • Work on copies
  • Keep originals read-only
  • Log every transformation step

4. Resource Awareness

Bioinformatics commands can consume massive resources:

  • Check file sizes before operations
  • Use streaming when possible (samtools view | ...)
  • Estimate memory needs (BWA: ~6GB for human genome)
  • Warn before operations >10 minutes

5. Reproducibility

Every analysis must be reproducible:

  • Log exact tool versions (samtools --version)
  • Save command parameters
  • Record input file checksums for critical analyses

Common Traps

  • Wrong chromosome naming — chr1 vs 1 causes silent failures. Check and convert with sed 's/^chr//'
  • Unsorted BAM — Most tools expect sorted input. Symptoms: errors or wrong results with no warning
  • Index missing — BAM needs .bai, VCF needs .tbi. Commands fail cryptically without them
  • Memory exhaustion — Large BAM operations kill the session. Stream or use --threads wisely
  • Stale indices — After modifying BAM/VCF, regenerate index. Old index = corrupt reads
  • 0-based vs 1-based coordinates — BED is 0-based, VCF/GFF is 1-based. Off-by-one bugs are common

File Formats Quick Reference

Format Purpose Key Tool
FASTA Reference sequences samtools faidx
FASTQ Raw reads + quality seqtk, fastp
SAM/BAM Aligned reads samtools
VCF/BCF Variants bcftools
BED Genomic intervals bedtools
GFF/GTF Gene annotations gffread
BigWig Coverage tracks deepTools

Essential Commands

Quality Control

# FASTQ quality report
fastqc sample.fastq.gz -o qc_reports/

# Trim adapters + low quality
fastp -i R1.fq.gz -I R2.fq.gz -o R1.clean.fq.gz -O R2.clean.fq.gz

# BAM statistics
samtools flagstat aligned.bam
samtools stats aligned.bam > stats.txt

Alignment

# Index reference (once)
bwa index reference.fa

# Align paired-end reads
bwa mem -t 8 reference.fa R1.fq.gz R2.fq.gz | \
  samtools sort -o aligned.bam -

# Index BAM
samtools index aligned.bam

Variant Calling

# Call variants
bcftools mpileup -Ou -f reference.fa aligned.bam | \
  bcftools call -mv -Oz -o variants.vcf.gz

# Index VCF
bcftools index variants.vcf.gz

# Filter variants
bcftools filter -s LowQual -e 'QUAL<20' variants.vcf.gz

Data Manipulation

# Extract region
samtools view -b aligned.bam chr1:1000000-2000000 > region.bam

# Convert BAM to FASTQ
samtools fastq -1 R1.fq.gz -2 R2.fq.gz aligned.bam

# Merge BAMs
samtools merge merged.bam sample1.bam sample2.bam

# Subset VCF by region
bcftools view -r chr1:1000-2000 variants.vcf.gz

Security & Privacy

Data access:

  • Only reads files user explicitly provides as input
  • Writes outputs to directories user specifies
  • Stores preferences in ~/bioinformatics/ (with consent)

Data that stays local:

  • All sequence data processed locally
  • No external API calls for analysis
  • Pipeline configs in ~/bioinformatics/

This skill does NOT:

  • Upload sequence data anywhere
  • Access files without explicit user instruction
  • Infer or collect data beyond explicit inputs
  • Make network requests during analysis

Note: Installing tools (conda, brew) and downloading reference genomes requires internet access. These are user-initiated actions.

Related Skills

Install with clawhub install <slug> if user confirms:

  • data-analysis — statistical interpretation
  • statistics — hypothesis testing
  • science — research methodology

Feedback

  • If useful: clawhub star bioinformatics
  • Stay updated: clawhub sync