hartwigmedical/hmftools
Jul 2025 – Apr 2026
10 Months active
Languages Used
JavaShellMarkdownKotlinPythonXML
Technical Skills
Algorithm DesignBioinformaticsCode OptimizationCode RefactoringData AnalysisData Processing
Reece Jones
PROFILE
Reece Jones
Over ten months, contributed to the hartwigmedical/hmftools repository by building and enhancing genomic panel design and analysis tools, focusing on robust backend development and bioinformatics workflows. Developed features such as probe quality profiling, BWA-MEM-based gene annotation, and scalable PanelBuilder modules, emphasizing data integrity, performance optimization, and maintainability. Applied Java and Kotlin to implement multithreaded processing, batch data handling, and flexible configuration management, while refactoring code for clarity and reliability. Improved documentation and onboarding materials to support reproducibility and user adoption. The work enabled more accurate genomic data processing, streamlined variant analysis, and facilitated scalable, production-ready panel construction pipelines.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
88Total
Bugs
5
Commits
88
Features
36
Lines of code
45,866
Activity Months10
Your Network
53 peopleSame Organization
@hartwigmedicalfoundation.nl34
Work History
April 2026
13 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary focused on delivering the PanelBuilder v1.1 release within hartwigmedical/hmftools, along with performance enhancements and data-quality improvements across the PanelBuilder pipeline. The month centered on expanding outputs, variant handling, evaluation reporting, and introducing sequence utilities, while improving traceability and production-readiness.
13 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary focused on delivering the PanelBuilder v1.1 release within hartwigmedical/hmftools, along with performance enhancements and data-quality improvements across the PanelBuilder pipeline. The month centered on expanding outputs, variant handling, evaluation reporting, and introducing sequence utilities, while improving traceability and production-readiness.
April 2026
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for hartwigmedical/hmftools: Delivered two key feature enhancements with deduplication improvements, resulting in more maintainable code and more accurate panel-building processes. Commit-level traceability supports robust future maintenance.
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for hartwigmedical/hmftools: Delivered two key feature enhancements with deduplication improvements, resulting in more maintainable code and more accurate panel-building processes. Commit-level traceability supports robust future maintenance.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Implemented CIDER VDJ gene matching with IMGT alignment and SHM annotation in hmftools, improving gene annotation accuracy for VDJ sequences. Added alignment and reference comparison logic against IMGT sequences to annotate somatic hypermutation status. Updated documentation to remove outdated CDR3 calling/gene annotation notes for clarity. Changes are tracked across two commits, enhancing maintainability and reproducibility while enabling more reliable downstream analyses.
2 Commits • 1 Features
Feb 1, 2026February 2026: Implemented CIDER VDJ gene matching with IMGT alignment and SHM annotation in hmftools, improving gene annotation accuracy for VDJ sequences. Added alignment and reference comparison logic against IMGT sequences to annotate somatic hypermutation status. Updated documentation to remove outdated CDR3 calling/gene annotation notes for clarity. Changes are tracked across two commits, enhancing maintainability and reproducibility while enabling more reliable downstream analyses.
February 2026
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for hartwigmedical/hmftools focusing on delivering core assembly enhancements and PanelBuilder improvements to accelerate panel design and improve genomic data handling. No major bugs fixed reported this period.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary for hartwigmedical/hmftools focusing on delivering core assembly enhancements and PanelBuilder improvements to accelerate panel design and improve genomic data handling. No major bugs fixed reported this period.
December 2025
12 Commits • 2 Features
Dec 1, 2025December 2025 (hartwigmedical/hmftools) — Focused on delivering robust feature work, data integrity improvements, and code quality enhancements that improve reliability and accelerate downstream development. Key deliveries include PanelBuilder quality scoring/output correctness enhancements and stabilized data handling, plus comprehensive refactors to improve maintainability and future extensibility.
12 Commits • 2 Features
Dec 1, 2025December 2025 (hartwigmedical/hmftools) — Focused on delivering robust feature work, data integrity improvements, and code quality enhancements that improve reliability and accelerate downstream development. Key deliveries include PanelBuilder quality scoring/output correctness enhancements and stabilized data handling, plus comprehensive refactors to improve maintainability and future extensibility.
December 2025
November 2025
26 Commits • 16 Features
Nov 1, 2025November 2025: Hartwig Medical hmftools — Delivered substantial PanelBuilder enhancements, performance improvements, and richer diagnostics to accelerate probe generation, validation, and troubleshooting while expanding gene coverage and documentation.
November 2025
26 Commits • 16 Features
Nov 1, 2025November 2025: Hartwig Medical hmftools — Delivered substantial PanelBuilder enhancements, performance improvements, and richer diagnostics to accelerate probe generation, validation, and troubleshooting while expanding gene coverage and documentation.
October 2025
11 Commits • 6 Features
Oct 1, 2025October 2025 — Focused on performance, determinism, and pipeline integration for hmftools. Delivered batch processing for sequence alignment to reduce memory usage, added multithreaded VDJ merging for large datasets, and improved sorting to produce deterministic, reproducible results while lowering the default reads per gene to 100,000 to optimize deep sequencing performance. Expanded reference genome support with GRCh37 patch annotations and unified argument handling, including TRBJ1 annotation and integration of temporary BWA-MEM index image creation. Introduced CreateGatkBwaMemIndex utility for GATK BWA-MEM wrapper and added a cn_backbone flag to control copy-number backbone probes in panel construction. Made Ensembl data directory optional unless gene-specific probes are requested. Prepared Release 1.1 with version bump and documentation updates, including notes on switching to BWA-MEM, enhanced VDJ merging performance, and output consistency. Overall impact: improved memory efficiency, scalability for large datasets, reproducible results, easier pipeline integration, and broader panel configuration capabilities. Technologies/skills demonstrated: batch processing, multithreading, deterministic sorting, CLI/argument unification, index image generation, feature flagging, optional data dependencies, versioning and documentation.
11 Commits • 6 Features
Oct 1, 2025October 2025 — Focused on performance, determinism, and pipeline integration for hmftools. Delivered batch processing for sequence alignment to reduce memory usage, added multithreaded VDJ merging for large datasets, and improved sorting to produce deterministic, reproducible results while lowering the default reads per gene to 100,000 to optimize deep sequencing performance. Expanded reference genome support with GRCh37 patch annotations and unified argument handling, including TRBJ1 annotation and integration of temporary BWA-MEM index image creation. Introduced CreateGatkBwaMemIndex utility for GATK BWA-MEM wrapper and added a cn_backbone flag to control copy-number backbone probes in panel construction. Made Ensembl data directory optional unless gene-specific probes are requested. Prepared Release 1.1 with version bump and documentation updates, including notes on switching to BWA-MEM, enhanced VDJ merging performance, and output consistency. Overall impact: improved memory efficiency, scalability for large datasets, reproducible results, easier pipeline integration, and broader panel configuration capabilities. Technologies/skills demonstrated: batch processing, multithreading, deterministic sorting, CLI/argument unification, index image generation, feature flagging, optional data dependencies, versioning and documentation.
October 2025
September 2025
9 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for hartwigmedical/hmftools: Delivered substantial accuracy and traceability improvements in Cider gene annotation by migrating to BWA-MEM as the primary alignment engine, along with targeted parameter tuning and removal of debugging artifacts. Expanded user-facing documentation to clarify MATCHES_REF behavior and known TRB/TRGJ2 limitations with older references (GRCh37/hg19), reducing confusion and support load. Implemented alignment traceability by recording alignment details to a file, and introduced reliability improvements to minimize discrepancies between alignment methods. Overall, these changes enhanced annotation reliability, reproducibility, and user trust, while enabling faster, more scalable analyses across workflows.
September 2025
9 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for hartwigmedical/hmftools: Delivered substantial accuracy and traceability improvements in Cider gene annotation by migrating to BWA-MEM as the primary alignment engine, along with targeted parameter tuning and removal of debugging artifacts. Expanded user-facing documentation to clarify MATCHES_REF behavior and known TRB/TRGJ2 limitations with older references (GRCh37/hg19), reducing confusion and support load. Implemented alignment traceability by recording alignment details to a file, and introduced reliability improvements to minimize discrepancies between alignment methods. Overall, these changes enhanced annotation reliability, reproducibility, and user trust, while enabling faster, more scalable analyses across workflows.
August 2025
4 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on key features delivered, major refactors, and impact in hartwigmedical/hmftools. Highlighted improvements aimed at usability, onboarding, and maintainability to accelerate business value and future feature delivery.
4 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on key features delivered, major refactors, and impact in hartwigmedical/hmftools. Highlighted improvements aimed at usability, onboarding, and maintainability to accelerate business value and future feature delivery.
August 2025
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for hartwigmedical/hmftools focused on delivering robust, data-driven probe quality tooling and revamping the panel design workflow to improve accuracy and scalability of custom gene panels. Key achievements: - Probe quality tooling introduced: GeneUtils: ProbeQualityProfiler and associated data structures (ProbeQualityProfile, readers) with logging refinements and region merging, including refactor to remove precomputed region coverage to simplify maintenance and improve correctness. Commits: 76b00316ffb1..., b4aa76897aca..., 16b5af62d557c.... - PanelBuilder redesign and integration with probe quality scoring: Replaced BlastN scoring with probe quality profile, enabling module-driven evaluation for gene probes, copy number backbones, and custom regions; enhanced output handling with new OutputWriter and supporting data structures. Commits: a6619af1e21c..., 40bd6bd91e70.... Overall impact and accomplishments: - End-to-end improvement of panel design accuracy and reliability, reducing off-target risk assessment uncertainties and enabling more scalable panel construction. - Stronger data model and I/O abstractions; cleaner logging and region management leading to easier maintenance and future enhancements. Technologies/skills demonstrated: - Data modeling and reader/writer patterns for probe quality data; refactoring for logging and region merging; design of flexible data structures to support panel customization. - Integration of quality-based scoring into core design workflow, replacing legacy BlastN scoring; proficiency with build/testable abstractions and maintainable code interfaces.
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for hartwigmedical/hmftools focused on delivering robust, data-driven probe quality tooling and revamping the panel design workflow to improve accuracy and scalability of custom gene panels. Key achievements: - Probe quality tooling introduced: GeneUtils: ProbeQualityProfiler and associated data structures (ProbeQualityProfile, readers) with logging refinements and region merging, including refactor to remove precomputed region coverage to simplify maintenance and improve correctness. Commits: 76b00316ffb1..., b4aa76897aca..., 16b5af62d557c.... - PanelBuilder redesign and integration with probe quality scoring: Replaced BlastN scoring with probe quality profile, enabling module-driven evaluation for gene probes, copy number backbones, and custom regions; enhanced output handling with new OutputWriter and supporting data structures. Commits: a6619af1e21c..., 40bd6bd91e70.... Overall impact and accomplishments: - End-to-end improvement of panel design accuracy and reliability, reducing off-target risk assessment uncertainties and enabling more scalable panel construction. - Stronger data model and I/O abstractions; cleaner logging and region management leading to easier maintenance and future enhancements. Technologies/skills demonstrated: - Data modeling and reader/writer patterns for probe quality data; refactoring for logging and region merging; design of flexible data structures to support panel customization. - Integration of quality-based scoring into core design workflow, replacing legacy BlastN scoring; proficiency with build/testable abstractions and maintainable code interfaces.
Activity
Loading activity data...
Quality Metrics
Correctness91.6%
Maintainability88.0%
Architecture88.2%
Performance86.0%
AI Usage23.6%
Skills & Technologies
Programming Languages
JavaKotlinMarkdownPythonShellXML
Technical Skills
Algorithm DesignAlgorithm OptimizationBWA-MEM AlignmentBackend DevelopmentBioinformaticsBioinformatics ToolsCode CleanupCode OptimizationCode RefactoringCode ReviewCommand Line InterfaceCommand Line Interface (CLI) designCommand Line Interface DevelopmentConfiguration ManagementData Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline