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.