Month: 2025-10 | nf-core/tools delivered a feature upgrade to the UTILS_NFSCHEMA_PLUGIN subworkflow, focusing on user experience and reliability. The enhancement includes improved parameter validation and enhanced user-facing help messages via the updated paramsHelp, along with refined parameter handling. A new test case was added to verify the help functionality. The subworkflow was updated to the latest version (commit 15d74bcc4f717747a6d53ed8bcaff09c6e979ff4). Major bugs fixed: none this month. Overall impact: reduces misconfigurations, improves user onboarding, and strengthens test coverage, aligning nf-core/tools with NF-core standards. Technologies/skills demonstrated: NF-core workflow development, subworkflow integration, test-driven validation, parameter validation, and version control.

September 2025 — Across nf-core/rnafusion and nf-core/tools, delivered tangible business value by stabilizing pipelines, improving user guidance, and aligning CI/CD practices. RNA Fusion pipeline configuration and execution improvements reduced variability and improved output organization by refining GATK4_CREATESEQUENCEDICTIONARY usage, removing unnecessary GET_RRNA_TRANSCRIPTS publishing, and simplifying execution paths. This yielded more reliable runs and clearer artifacts (commits ada6a0d5867b2c116eac5958d737b0b80dbcef89, d43cf513eced86b22f186a40eeeebd8acc30b4c2, ea84891d6bb93de280131859681c54f00ad100ed). FusionCatcher hardlink issue was fixed by upgrading to build 1.33b with release notes documented (commits 33978a80d5dce45dbcb6eb2f88998619752f50cc, 317c1a75012741c29546becc7b5401fb37c7d8fa). Documentation, linting, and code quality improvements across both repos included updated READMEs, pre-commit hooks, lint fixes, and test updates (commits f1b4a6f8990702f3da4ea899f364be2eb2691257, ddbfd78cd1535ff7a7758755f304a64ed8d41cc4, eeaf8bb77b223b1d6c22d526fd2d991ea77b9611, 6fe4a50e5cbfb8385ba91287b32b8d661ce5174f, 51170b69b7d5008d99e24fe2a8b3cba38e02b740). nf-core/tools enhancements included improvements to help messaging and schema-driven UI, preventing duplicate summaries, upgrading nf-schema, and aligning Nextflow across CI, tests, and docs; contributing commits include 1c939e900b39e8d8b7dcea134a7ba62b9b96c7a7, bbb041a751f5ad3c690362f3c3a120644810c9ab, 0c803f8941cf854fe60462d545c157cf0ad6302a, 91504679454e61540d464cf037dcef2d3f03a602, 5c7db2eed72605d450a56da4c691db0160c61545, 0e3b0f01035bf55ff36223e7048fe36db9c87270; NF-schema upgrade and documentation alignment included updates to changelogs, Nextflow version bumps, and nf-schema upgrades (ec2ba452f14ee645245454957a65a453decef376, c915b16f249d290c468a77e4335f37f5e6c66e2b, 90294711df1e8b2a726be4401356eaafbc37b34a, 5d42968f4341b09fbf21bbcf9bada9f7941e6465), Anonymous AWS access for public data and robust cloud configuration (75d543997082e29e6d7b136c6d6f734885f3ed8e, a46fc2de60ced14718b9fcf04cba2758025c4fc1), and Nextflow version alignment in CI (e9e5cdb911562b4ed38b8d8531e1b35afb11e5de, 2e8795bfb7a915794d1543e2aa811a58c872e07f, 73e6ce5fdc235c20a82d2c16e0eb1503e4d0073c, b60730b7b345f8184f9b80121c80dab6314b0be6).

August 2025 monthly summary for nf-core/rnafusion: Delivered key features to improve reference management and end-to-end validation for Arriba/STARFUSION workflows, along with user-focused documentation and code quality improvements. Implemented default URLs for reference files, added validation to ensure required references exist when Arriba and/or FusionCatcher are selected, and integrated Arriba outputs through FusionInspector with helper validators. Documentation updates clarified usage, sample sheet requirements, outputs, and release notes to accelerate testing and pipeline adoption. Addressed code quality issues through linting and style fixes, aligning with nf-core standards and reducing CI failures. The work enhances reliability, reproducibility, and onboarding efficiency, enabling faster, safer deployments in production. Technologies demonstrated include Python-based configuration validation, integration with FusionInspector, Arriba/STARFUSION reference workflows, and rigorous linting and documentation workflows.

July 2025 (nf-core/rnafusion) delivered meaningful business value by strengthening data input paths, schema robustness, and pipeline reliability, while improving developer experience and test stability. The month focused on expanding supported data references, clarifying configurations, and hardening outputs and messaging to reduce downstream failures in production workloads.

In May 2025, delivered a resource-control feature for nf-core/rnafusion that caps RAM used for BAM sorting during STAR alignment, with user-facing controls and documentation. This improves stability and predictability on heterogeneous hardware, aligning with nf-core resource management best practices and reducing memory-related failures.

April 2025 monthly summary for nf-core/rnafusion and nf-core/tools. The team delivered core feature consolidations, robustness improvements, and documentation enhancements, driving CI reliability, data compatibility, and maintainability. Key outcomes include tool configuration consolidation, extended samplesheet support, added tool tests, nf-core integration alignment for fusioncatcher, and robust download pipelines for FusionCatchER/fusioncatcher, complemented by lint/docs improvements.

March 2025 performance highlights: Across nf-core repos, delivered governance improvements, pipeline reliability enhancements, and packaging/test upgrades that drive faster, safer releases and clearer compliance. Key initiatives included governance checklist and documentation consolidation on nf-core/website, consolidation of the Star module in nf-core/rnafusion, and targeted bug fixes and schema updates across nf-core/sarek and nf-core/rnafusion. The combined work reduces review cycles, increases pipeline stability, and strengthens data integrity for users.

February 2025 — Focused on enabling robust schema validation and improving documentation quality on nf-core/website. Key deliverables include the Hackathon: NF-core Pipelines JSON Schema Enhancement, which established a dedicated group to advance JSON schema validation, clarify error messages, migrate pipelines from nf-validation to nf-schema, and added a new project GIF asset. Additionally, resolved a documentation issue by fixing a typo in the Community Governance Checklist (Creata -> Create) to improve user accuracy. These efforts strengthen developer experience, reduce onboarding friction, and improve overall quality and maintainability of the nf-core website and schema tooling.

January 2025 monthly summary focusing on key feature deliveries, major fixes, and measurable impact across nf-core/tools and nf-core/rnafusion. Highlights include the nf-schema 2.3.0 release enabling commit-based downloads via the Nextflow configuration, an upgraded Nextflow plugin, and a changelog entry; and the introduction of the CTAT Splicing cancer genome library prep module for STAR-Fusion with configurability (parameterized cancer intron TSV) plus resource optimization and associated tests and changelog updates. A regression bug fix addressed a stub test snapshot in rnafusion. These efforts improve reproducibility, configurability, performance, and end-user deployability, delivering tangible business value.

December 2024 monthly summary for nf-core/rnafusion: Delivered the CTAT-Splicing cancer intron detection module integrated into RNAFusion/ARRIBA/STARFUSION pipelines, plus significant workflow robustness and debugging improvements, and updated documentation. Focus was on delivering business value through more accurate intron-level cancer detection, reliable fusion outputs, and clearer debugging visibility to accelerate diagnosis and deployment readiness.

Month: 2024-11 — nf-core/configs. Focused month with a single high-impact bug fix that stabilizes tier1 cluster configurations and improves deployment reliability. Key features delivered: - Bug fix delivered: Cluster Identification Order Correction to prioritize the correct cluster version for tier1 clusters (commit a33e9fd65540d0b06e6612de462f57983c61912a). Major bugs fixed: - Misordering of environment variable checks that could select an incorrect cluster version for tier1 environments; corrected ordering to prevent misconfigurations. Overall impact and accomplishments: - Stabilized cluster configuration logic for tier1 deployments, reducing risk of misconfigurations and improving operational reliability across critical environments. - Clear traceability of changes via a dedicated commit, enabling faster review and future audits. Technologies/skills demonstrated: - Environment variable handling and ordering logic in configuration management. - Git discipline with precise commit messages and traceability. - Configuration correctness assurance for high-priority deployment scenarios.