This repository provides a Nextflow workflow designed for the analysis of Pool-seq data, a high-throughput sequencing method used to study allele frequency changes in pooled DNA samples. Pool-seq is particularly valuable in evolutionary and ecological genomics for identifying genetic variants associated with adaptation or other evolutionary processes. The workflow automates complex bioinformatics tasks, ensuring reproducibility and efficiency in data processing. The `poolseq-nf` workflow leverages the capabilities of Nextflow, a powerful and flexible workflow management system widely used in bioinformatics. Nextflow enables scalable and reproducible pipelines, supporting various execution environments from local machines to cloud platforms and high-performance computing clusters. While specific technical specifications like processing speed or memory requirements depend on the underlying infrastructure and dataset size, Nextflow workflows are inherently designed for parallel execution and resource optimization. This workflow likely integrates standard tools for read alignment, variant calling, and allele frequency estimation from pooled sequencing data. This digital resource is primarily applied in fields such as evolutionary biology, population genetics, and ecological genomics. Researchers can use it to analyze large-scale Pool-seq datasets to detect signatures of selection, track allele frequency dynamics over time or across environments, and identify candidate genes involved in adaptation. The benefits include standardized analysis, reduced manual effort, and improved data consistency across different projects. It is compatible with various sequencing platforms that generate short-read data suitable for Pool-seq experiments. Additional features of Nextflow workflows often include robust error handling, resume functionality, and detailed reporting, which enhance the user experience and facilitate debugging. The modular nature of Nextflow allows for easy integration of new tools or customization of existing steps, making this workflow adaptable to specific research needs. While no specific accessories or software are explicitly mentioned beyond Nextflow, typical Pool-seq analysis involves tools like BWA for alignment, GATK or FreeBayes for variant calling, and custom scripts for downstream statistical analysis of allele frequencies.