nf-core/rnaseq
Jan 2026 – Feb 2026
2 Months active
Languages Used
GroovyJSONNextflowYAML
Technical Skills
CI/CDConfiguration ManagementContinuous IntegrationDevOpsGitHub ActionsJSON schema validation
Gary Burnett
PROFILE
Gary Burnett
Contributed to the nf-core/rnaseq repository by developing and enhancing GPU-accelerated RNA-Seq workflows, focusing on Parabricks integration and robust pipeline automation. Leveraged Nextflow scripting, Groovy, and YAML to implement new modules, expand schema validation, and refine resource management for both GPU and CPU environments. Improved CI/CD reliability through expanded test coverage, memory limit enforcement, and targeted refactoring of workflow components. Addressed output handling, logging, and test automation to increase reproducibility and throughput. These efforts resulted in more predictable, production-ready genomic data processing pipelines, supporting efficient RNA sequencing analysis and streamlined deployment on diverse hardware infrastructures.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
43Total
Bugs
4
Commits
43
Features
12
Lines of code
17,561
Activity Months2
Your Network
1708 peopleSame Organization
@nvidia.com1684
Shared Repositories
24
Work History
February 2026
26 Commits • 10 Features
Feb 1, 2026February 2026 monthly summary for nf-core/rnaseq focused on stabilizing CI, expanding test coverage, and hardening runtime resources to improve pipeline reliability and predictability. Delivered key features including use_parabricks_star test, memory limits, GPU CI workflow, CPU test tagging, and a targeted refactor of Parabricks usage. These changes reduce OOM risk, improve CI feedback and observability, and enable more efficient resource planning across the project.
26 Commits • 10 Features
Feb 1, 2026February 2026 monthly summary for nf-core/rnaseq focused on stabilizing CI, expanding test coverage, and hardening runtime resources to improve pipeline reliability and predictability. Delivered key features including use_parabricks_star test, memory limits, GPU CI workflow, CPU test tagging, and a targeted refactor of Parabricks usage. These changes reduce OOM risk, improve CI feedback and observability, and enable more efficient resource planning across the project.
February 2026
January 2026
17 Commits • 2 Features
Jan 1, 2026January 2026: nf-core/rnaseq delivered GPU-accelerated Parabricks-enabled RNA-Seq workflow enhancements and expanded validation for Parabricks STAR integration. Key improvements include integrating rnafq2bam, aligning output and log handling with STAR conventions, adding Parabricks genomegenerate to the PREPARE_GENOME subworkflows, and tuning resource configurations for reliability. The testing framework now covers Parabricks STAR genome generation, prepare_genome, and end-to-end validation. These changes boost throughput, reproducibility, and CI stability, enabling production-ready performance on supported hardware.
January 2026
17 Commits • 2 Features
Jan 1, 2026January 2026: nf-core/rnaseq delivered GPU-accelerated Parabricks-enabled RNA-Seq workflow enhancements and expanded validation for Parabricks STAR integration. Key improvements include integrating rnafq2bam, aligning output and log handling with STAR conventions, adding Parabricks genomegenerate to the PREPARE_GENOME subworkflows, and tuning resource configurations for reliability. The testing framework now covers Parabricks STAR genome generation, prepare_genome, and end-to-end validation. These changes boost throughput, reproducibility, and CI stability, enabling production-ready performance on supported hardware.
Activity
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Quality Metrics
Correctness93.4%
Maintainability88.0%
Architecture89.2%
Performance89.8%
AI Usage25.6%
Skills & Technologies
Programming Languages
GroovyJSONNextflowYAML
Technical Skills
CI/CDConfiguration ManagementContinuous IntegrationDevOpsGPU ComputingGitHub ActionsJSON schema designJSON schema validationNextflowNextflow scriptingRNA sequencingWorkflow Automationbioinformaticsdata analysisdata processing
Repositories Contributed To
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