May 2026 monthly summary for hartwigmedical/hmftools. This period focused on expanding the Disruption data model to support cluster-level analysis by introducing a clusterId field and updating the DisruptionFactory to handle the new field. This enables cluster-based disruption representation, validation, and reporting, laying groundwork for enhanced analytics. No major bugs were documented for May 2026. Overall impact includes improved data fidelity for disruption analytics and stronger support for cluster-level reporting, contributing to better decision-making and product insights. Technologies and skills demonstrated include data modeling, factory pattern updates, and strong traceability through commit messages.

April 2026 monthly summary for hartwigmedical/hmftools focused on delivering reliable data representations and simplifying the data model to enable faster analytics and lower maintenance. Key outcomes include: improved visualization fidelity in the Finding module, with clearer method naming and robust null handling during visualisation file creation; and a streamlined orange data model through a DriverCategory enum integration and removal of driver gene handling across components. These changes position the product for more accurate downstream analytics and easier future feature work.

March 2026 performance summary for hartwigmedical/hmftools focused on data-model fidelity, architectural improvements, visualization integration, and build stability. Delivered extended and hardened finding-datamodel, driver integration, richer HLAllele support, and visualization-data relationships, while tightening build/version management and removing legacy dependencies to reduce cloud-build risk and accelerate backports.

February 2026 focused on delivering core product enhancements, containerized deployment options, and automated deployment workflows for hmftools, while strengthening build security and stability. Visualization data model enhancements and HLA naming improvements enable reliable tumor analysis visual outputs by persisting visualization paths in the data model and refining HLA allele handling. Curation workflow enhancements introduced a CurationApplier and CuratedFindingsApplication to apply curated findings to input findings and propagate curation data. Containerization support adds Dockerfiles for the findings application and the v-chord tool, simplifying a containerized deployment path. CI/CD cloud build configuration enables automated deployment and versioning of the finding-datamodel module. Maintenance work upgraded dependencies, cleaned up build configurations, and standardized packaging, improving security, build reliability, and overall maintainability. These efforts collectively improve reproducibility, deployment speed, and data quality for tumor analysis workflows.

Jan 2026 hmftools monthly summary: Focused on data-model modernization, data integrity, and readiness for next-gen sequencing integration, delivering key features, stabilizing fixes, and improving end-to-end data flows for reliable reporting and UI readiness.

December 2025: Key refactor improving type safety in LinxFusion reporting. Implemented by switching LinxFusion reportable reasons from a string to a list of FusionReportableReason enums in hmftools, enabling clearer event reporting and easier future extension. The change reduces ambiguity in fusion event reporting and aligns with ongoing quality improvements.

2025-11 monthly summary for hartwigmedical/hmftools focusing on variant data handling improvements, data model enhancements, and test stability. Highlights include consolidation of variant parsing, introduction of a dedicated variant creation utility, extension of the somatic variant data model, and refactoring germline variant construction to ImmutableVariantImpl for better maintainability and data integrity. Also addressed data loading gaps in SomaticVariantDAO and aligned tests for reliability.

2025-05 Monthly Summary for hartwigmedical/hmftools: Delivered unified configuration management across Cider and Teal through a ConfigBuilder/ConfigLoader workflow, improving reliability and maintainability. Highlights include Cider IgTcrGeneFile loading fix and max_target_seqs cap to 5000 to prevent prolonged blastn runs, and Teal migration to ConfigLoader with correct loading of excluded bed regions for break end. Implemented blastn performance safeguards and released version 1.0.4 to address problematic region mappings, yielding faster, more predictable runs. Documentation updates clarified configuration flows, supporting onboarding and future enhancements. Business impact: reduced risk of failed runs, faster processing, and easier maintenance and extension of config-driven pipelines.

April 2025 performance summary for hartwigmedical/hmftools: Delivered key data handling improvements and introduced an end-to-end cancer-type predictor for panel samples, driving data interoperability and business value across the toolchain. Consolidated IgTcr gene data into the hmf-common module to enable shared resources across components and updated DelimFileWriter/DelimFileReader to emit boolean values as 'true'/'false' instead of '0'/'1', improving data clarity and interoperability. Launched vCuppa cancer type predictor with Java classes for prediction and file handling, and Python scripts for model training and prediction. Integrated with PURPLE and CUPPA to enable end-to-end panel sample classification, aligning with pipeline goals and reducing manual steps.

February 2025 highlights for hartwigmedical/hmftools. Delivered documentation improvements and substantial region-slicing enhancements that strengthen data integrity, onboarding, and deployment readiness. Focused on aligning the toolchain with current requirements and enabling robust region-based read processing for downstream analyses.

January 2025 performance summary: Focused on security hardening, build-system modernization, and tooling enhancements across pipeline5 and hmftools. Delivered concrete business value through dependency hygiene, vulnerability remediation, and data tooling readiness for vCHORD, enabling more reliable pipelines and higher quality training data.

December 2024 performance summary: Delivered foundational platform improvements across hartwigmedical/pipeline5 and hartwigmedical/hmftools, focusing on stability, security, and developer productivity. Key outcomes include a major SDK/JDK upgrade, improved installation/packaging for RepeatMasker, CLI and storage workflow modernization, image build script modernization, and targeted stability fixes. Also enhanced tooling and documentation to accelerate onboarding and model evaluation. Overall, these efforts reduce downtime, improve reliability, and enable faster delivery of cloud-enabled workflows.

Concise monthly summary for 2024-11 focusing on key deliverables, stability improvements, and measurable business impact across the pipeline5 and hmftools repositories.

In October 2024, delivered and stabilized core tooling to accelerate gene-panel design, improve data consistency in comparisons, and strengthen runtime scalability for large datasets. Key outcomes include: (1) GeneProbesGenerator added to hmftools for panel design, enabling systematic probe candidate selection across coding exons, UTRs, introns, and flanking regions using reference genome data, Ensembl annotations, and BLASTn scores, with TSV outputs; (2) CIDER/TEAL comparison modules fixed with database-backed data loading and enum-based column alignment, improving data integrity and display accuracy; (3) Enhanced VM resource management in pipeline5: increased memory to 128GB for alignment VM and TEAL tool, and upgraded hmf-cloud-sdk to support self-deleting VMs for future lifecycle management; (4) groundwork laid for scalable, automated workflows, resulting in improved performance, reliability, and consistency across pipelines.