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 modular workflow components, including modules for sequence dictionary creation, BED-to-interval conversion, and hybrid-selection metrics. Luigi designed a dedicated subworkflow for targeted sequencing analysis, reorganizing BEDTOOLS_INTERSECT inclusion to improve modularity and code reuse. His work emphasized parameterization and test readiness, enabling easier extension and validation of methylation sequencing workflows. By focusing on maintainable pipeline development and genomics best practices, Luigi delivered a robust foundation for targeted panel analysis without requiring critical bug fixes during the development period.