ampliseq

Run the nf-core/ampliseq pipeline for amplicon sequencing analysis.

1|Updated Jun 19, 2026
One-click install
npx skills add https://github.com/danilomonge/nf-claw --skill ampliseq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ampliseq
Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/ampliseq
Command: npx skills add https://github.com/danilomonge/nf-claw --skill ampliseq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns a complex amplicon sequencing pipeline into a validated, reproducible run plan so you can process marker-gene data without guessing flags or looking up release-specific options.

Core Features & Use Cases

  • Run the nf-core/ampliseq workflow for 16S, ITS, CO1, 18S, and other amplicon studies.
  • Support paired-end Illumina, single-end Illumina, PacBio, and IonTorrent inputs, with optional primer trimming, quality filtering, taxonomic assignment, phylogenetic placement, and downstream diversity analysis.
  • Use it to process a microbiome samplesheet, generate abundance tables and reports, or rerun a pinned release with the exact parameter set required by that version.

Quick Start

Ask the ampliseq skill to analyze your samplesheet, choose the desired pipeline version and profile, and produce a validated command for the output directory you want.

Frequently Asked Questions about ampliseq

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run amplicon sequencing analysis for 16S and ITS marker genes using nf-core?▼

You can run amplicon sequencing analysis by using this Skill to execute the nf-core/ampliseq pipeline, which validates your samplesheet and parameters for 16S, ITS, CO1, and 18S workflows before generating a reproducible run plan.

Can I process PacBio and IonTorrent amplicon sequencing data with the nf-core ampliseq pipeline?▼

Yes, the nf-core ampliseq pipeline supports paired-end Illumina, single-end Illumina, PacBio, and IonTorrent datasets, allowing you to process diverse amplicon sequencing inputs through a validated workflow.

How do I validate a microbiome samplesheet and runtime parameters for DADA2 and QIIME2?▼

This Skill validates your microbiome samplesheet structure alongside runtime parameters for DADA2 and QIIME2, ensuring your taxonomic databases and downstream reporting options match your pinned nf-core release before execution.

What is the best way to generate abundance tables from amplicon sequencing data across multiple sequencing platforms?▼

The best way to generate abundance tables is by running the nf-core/ampliseq pipeline, which handles primer trimming, quality filtering, and taxonomic assignment to produce comprehensive reports for your marker-gene data.

Does the nf-core ampliseq pipeline support phylogenetic placement and downstream diversity analysis for microbiome studies?▼

Yes, the nf-core ampliseq pipeline supports optional phylogenetic placement and downstream diversity analysis, enabling comprehensive microbiome studies from raw marker-gene sequences to final abundance reports.

How do I ensure reproducible amplicon sequencing runs when rerunning a specific pinned pipeline release?▼

You ensure reproducible amplicon sequencing runs by using this Skill to validate release-pinned parameters and runtime options, guaranteeing the exact parameter set required by that specific nf-core version is applied.