Run the nf-core/createtaxdb pipeline to build metagenomic classifier databases from a samplesheet.
npx skills add https://github.com/danilomonge/nf-claw --skill createtaxdb
Please help me install this Agent Skill. Skill: createtaxdb Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/createtaxdb Command: npx skills add https://github.com/danilomonge/nf-claw --skill createtaxdb
It removes the manual trial-and-error involved in launching nf-core/createtaxdb runs, especially when you need the correct database inputs, required flags, and release-specific behavior to stay consistent.
Ask the skill to prepare and run createtaxdb from your samplesheet, output directory, and database name while preserving the pinned release and validated parameters.
High-intent search queries and answers about installing and using this skill.
To build a metagenomic classifier database, you provide a structured reference samplesheet describing DNA and protein FASTAs, an output directory, and a database name. The pipeline schema validates these parameters to generate the database.
You can build databases for multiple classifier back ends including Kraken2, Centrifuge, DIAMOND, Kaiju, MALT, and sourmash. The pipeline processes your reference inputs to construct databases compatible with these taxonomic profiling workflows.
Yes, the pipeline supports both nucleotide and protein reference inputs for taxonomic profiling workflows. It processes these references from a structured samplesheet to build functional metagenomic classifier databases.
To ensure reproducible provenance when generating metagenomic databases, the pipeline enforces release-specific execution of pinned pipeline versions. It tracks version, commit, and command data alongside standardized MultiQC reporting for full traceability.
Before running database building for metagenomics, you need a structured reference samplesheet containing your DNA and protein FASTAs, a designated output directory, and a specified database name to pass schema-validated parameters.
Metagenomic database builds fail when required output and database name fields are missing. The pipeline enforces schema-validated parameters to prevent errors, ensuring correct database inputs and required flags are provided before execution.
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