Luigi Lampa expanded the nf-core/methylseq repository by developing targeted sequencing quality control features using Nextflow and Groovy. He integrated Picard-based analysis through new modules for sequence dictionary creation, BED-to-interval conversion, and hybrid-selection metrics, organizing them into a dedicated subworkflow for targeted sequencing. Luigi also refactored the inclusion of BEDTOOLS_INTERSECT to improve modularity and code reuse, aligning with nf-core’s structure. No critical bugs were addressed, as the focus was on refactoring and preparing the workflow for testing. This work enhanced the maintainability and extensibility of methylation sequencing pipelines, supporting more robust targeted panel analysis in bioinformatics projects.