
During October 2025, Daniel Wells developed a new Pypolca module for the nf-core/modules repository, focusing on improving genome assembly quality by polishing long-read assemblies with short-read data. He implemented the main workflow using Nextflow (nf), incorporating configuration files and comprehensive tests to ensure reliability and ease of integration. Leveraging his skills in bioinformatics and genomics, Daniel designed the module for seamless adoption within nf-core pipelines, supporting reproducibility and maintainability. The work included robust test coverage and documentation scaffolding, laying a foundation for future enhancements and ongoing maintenance, and addressed the need for high-quality, reproducible genome assemblies in the community.

Concise monthly summary for 2025-10 focusing on nf-core/modules: Delivered a new Pypolca module to polish long-read assemblies using short reads, with configuration files, main workflow, and comprehensive tests. This work enhances assembly quality, reproducibility, and seamless integration into nf-core pipelines, delivering tangible value to users relying on high-quality genome assemblies.
Concise monthly summary for 2025-10 focusing on nf-core/modules: Delivered a new Pypolca module to polish long-read assemblies using short reads, with configuration files, main workflow, and comprehensive tests. This work enhances assembly quality, reproducibility, and seamless integration into nf-core pipelines, delivering tangible value to users relying on high-quality genome assemblies.
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