bio-nextflow-manager

To run nf-core pipelines on local FASTQ files, the Skill executes the rnaseq pipeline directly by pointing to your local data path after verifying that Nextflow, Java, and Docker are configured.

Yes, you can download public datasets for variant calling automatically. The Skill acquires public omics data from GEO and SRA accessions to use as input for WGS and WES analysis via the sarek pipeline.

Executing Nextflow bioinformatics pipelines requires Python, Bash, Docker, Nextflow, and Java. The Skill checks and ensures this entire environment is correctly configured before running any omics data analysis.

Yes, this approach supports ATAC-seq data for chromatin accessibility studies. The Skill executes the nf-core atacseq pipeline to process your sequencing data and generate the required accessibility results.

The best way to analyze RNA sequencing data without deep bioinformatics expertise is using automated deployment. The Skill handles environment setup, data acquisition, and pipeline execution for gene expression analysis end-to-end.

Pipeline execution fails before processing sequencing data when environment dependencies are missing. The Skill prevents this by checking for required software like Python, Docker, and Java before attempting to run any analysis.