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bio-workflows-genome-assembly-pipeline生物工作流程基因组组装管道

Agent Skill

bio-workflows-genome-assembly-pipeline 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

456

周安装

19

GitHub Stars

公开资料未说明

下载量

152
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bio-workflows-genome-assembly-pipeline(生物工作流程基因组组装管道)
来源仓库:https://github.com/gptomics/bioskills
仓库路径:skills/bio-workflows-genome-assembly-pipeline
安装命令:
npx skills add gptomics/bioskills --skill "bio-workflows-genome-assembly-pipeline"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add gptomics/bioskills --skill "bio-workflows-genome-assembly-pipeline"

简介

该技能提供基因组从头组装流程的信息检索与筛选能力。

  • 适用于宏基因组或单细胞测序数据的序列拼接任务。bio-workflows-genome-assembly-pipeline 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可根据读长类型与覆盖度选择适配的算法组合建议。
  • 安装前需明确对磁盘空间与 CPU 资源的占用预期。
  • 请核实原始仓库中是否包含测试数据集用于功能验证。

SKILL.md

Genome Assembly Pipeline

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

# Standard bacterial assembly
spades.py \
    -1 trimmed_R1.fq.gz \
    -2 trimmed_R2.fq.gz \
    -o spades_output \
    --careful \
    -t 16 \
    -m 64

# For isolate genomes
spades.py --isolate \
    -1 trimmed_R1.fq.gz \
    -2 trimmed_R2.fq.gz \
    -o spades_output \
    -t 16

Step 3: Polishing with Pilon

# Align reads to assembly
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

# Polish
pilon --genome spades_output/scaffolds.fasta \
    --frags aligned.bam \
    --output polished \
    --threads 16

Path B: Long-Read Assembly (Flye)

Step 1: QC

# NanoPlot for long-read QC
NanoPlot --fastq reads.fastq.gz \
    --outdir nanoplot_output \
    --threads 8

Step 2: Assembly with Flye

# ONT raw reads
flye --nano-raw reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# ONT HQ reads (sup/dna_r10)
flye --nano-hq reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# PacBio HiFi
flye --pacbio-hifi reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

Step 3: Polishing with medaka

# Polish with medaka (for ONT)
medaka_consensus \
    -i reads.fastq.gz \
    -d flye_output/assembly.fasta \
    -o medaka_output \
    -t 16 \
    -m r1041_e82_400bps_sup_v4.3.0  # Match your basecalling model

Path C: Hybrid Assembly

# Flye with long reads, then polish with short reads
flye --nano-hq long_reads.fastq.gz \
    --out-dir flye_output \
    --threads 16 \
    --genome-size 5m

# Polish with short reads using Pilon
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

# Without reference
quast.py polished.fasta \
    -o quast_output \
    -t 8

BUSCO

# Download lineage database
busco --download bacteria_odb10

# Run BUSCO
busco -i polished.fasta \
    -l bacteria_odb10 \
    -o busco_output \
    -m genome \
    -c 8

Parameter Recommendations

ToolParameterBacteriaEukaryote
SPAdes--carefulYesOptional
SPAdes-m64GB256GB+
Flye--genome-size5mSpecies-specific
Flye--metaIf metagenomeNo
BUSCO-lbacteria_odb10eukaryota_odb10

Troubleshooting

IssueLikely CauseSolution
Fragmented assemblyLow coverage, repetitive genomeIncrease coverage, use long reads
Low N50Short reads onlyAdd long reads for scaffolding
Low BUSCOIncomplete assembly, wrong lineageCheck coverage, try different lineage
Assembly too largeContamination, heterozygosityFilter 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}

# Step 1: QC
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

# Step 2: Assembly with Flye
echo "=== Assembly ==="
flye --nano-hq ${LONG_READS} \
    --out-dir ${OUTDIR}/assembly \
    --threads ${THREADS} \
    --genome-size ${GENOME_SIZE}

# Step 3: Polish with short reads
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}

# Step 4: QC
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

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02

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03

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

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按下载量换算43

Codex

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Claude Code

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windsurf

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trae

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Antigravity

3.02%
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安全审计

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权限和风险

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安装前确认

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