Run the nf-core/circdna pipeline to identify circular DNA from sequencing data.
npx skills add https://github.com/danilomonge/nf-claw --skill circdna
Please help me install this Agent Skill. Skill: circdna Source: https://github.com/danilomonge/nf-claw/tree/main/pipelines/circdna Command: npx skills add https://github.com/danilomonge/nf-claw --skill circdna
This Skill removes the guesswork from running the nf-core/circdna workflow so you can identify circular DNA in sequencing datasets with the right inputs, options, and release-specific behavior from the start.
Use the circdna skill to run nf-core/circdna on your samplesheet with the required input format, outdir, and circle identifier for your dataset.
High-intent search queries and answers about installing and using this skill.
You identify circular DNA from WGS and ATAC-seq data by running the nf-core/circdna pipeline on a samplesheet with paired-end reads to produce standardized result folders and provenance records.
The best way to run the nf-core/circdna pipeline reproducibly is to use pinned Nextflow releases, schema-validated parameters, and documented outputs to ensure runs are easy to repeat and audit.
Yes, you can use Circle-Seq data for extrachromosomal circular DNA detection by selecting the appropriate detection branch within the supported analysis paths of the workflow.
The input format required to discover circular DNA using Nextflow is a samplesheet containing paired-end sequencing reads, along with an output directory and a circle identifier.
Yes, you need schema-validated parameters to run the circular DNA detection pipeline because they enforce correct inputs and release-specific behavior for reliable research analysis.
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