denovotranscript

Provides automated NLP-based extraction of data from clinical documents and reports.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the guesswork from running nf-core/denovotranscript by turning a bulk RNA-seq samplesheet into a reproducible de novo transcriptome assembly workflow with clear input, output, and parameter guidance.

Core Features & Use Cases

  • End-to-end RNA-seq assembly: Handles quality control, trimming, assembly, redundancy reduction, pseudoalignment, and quantification in one validated workflow.
  • Schema-driven parameter guidance: Surfaces required inputs, allowed values, defaults, and constraints so runs stay consistent and fail fast on invalid settings.
  • Research workflow support: Useful for assembling transcriptomes from paired-end short reads, comparing release versions, and inspecting reports and provenance for reproducibility.

Quick Start

Ask the denovotranscript skill to run nf-core/denovotranscript for my samplesheet and output directory using an appropriate execution profile.

Frequently Asked Questions about denovotranscript

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

FAQPage Schema
How do I run a de novo transcriptome assembly workflow from a bulk RNA-seq samplesheet?

A de novo transcriptome assembly workflow processes paired-end RNA-seq reads through QC, trimming, assembly, redundancy reduction, pseudoalignment, and quantification. It requires a validated samplesheet, output paths, and schema-checked parameters for consistent execution.

What is the best way to ensure nf-core RNA-seq assembly parameters are valid before running?

Schema-driven parameter validation surfaces required inputs, allowed values, defaults, and constraints for nf-core workflows. This ensures runs stay consistent and fail fast on invalid settings before processing your RNA-seq data.

Can I use a paired-end samplesheet for de novo transcriptome assembly without a reference genome?

Yes, de novo transcriptome assembly processes paired-end short reads without a reference genome. The workflow performs assembly directly from bulk RNA-seq data, followed by pseudoalignment and quantification for expression analysis.

What steps are included in an end-to-end RNA-seq transcriptome assembly workflow?

An end-to-end RNA-seq assembly workflow includes quality control, read trimming, de novo assembly, redundancy reduction, pseudoalignment, and quantification. These steps are validated and executed in one pipeline for reproducible transcriptome results.

Why does my nf-core RNA-seq workflow fail on invalid samplesheet paths?

The workflow requires validated input and output paths plus schema-checked parameters for deterministic execution. Invalid samplesheet paths or parameters trigger fail-fast behavior to prevent inconsistent transcriptome assembly runs.