nf-core/methylseq
Mar 2025 – Mar 2025
1 Month active
Languages Used
GroovyNextflowNfYAML
Technical Skills
BioinformaticsBioinformatics Pipeline DevelopmentConfiguration ManagementGenomic Data AnalysisNextflowNextflow Scripting
daniel.carrillo
PROFILE
Daniel.carrillo
Daniel Carrillo contributed to the nf-core/methylseq repository by developing three new features focused on enhancing methylation analysis workflows. He refactored context handling and introduced an all_contexts flag, enabling more granular control over methylation contexts in Bismark MethylationExtractor and MethylDackel. Daniel integrated Picard CollectHsMetrics, improving hybrid selection metric computation and MultiQC reporting, and restructured targeted analysis workflows for robust input handling. He also added a bedtools intersect module, supporting precise overlap analyses with user-defined regions. His work demonstrated depth in Nextflow scripting, configuration management, and genomic data analysis, resulting in more flexible, accurate, and reproducible pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
629
Activity Months1
Your Network
16 people
Work History
March 2025
3 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for nf-core/methylseq highlighting delivered features, stability improvements, and overall impact. Key achievements and outcomes: - Methylation analysis: added all_contexts flag and refactored context handling to provide granular control over methylation contexts in Bismark MethylationExtractor and MethylDackel, improving configurability and accuracy. - Picard CollectHsMetrics integration and reporting: enabled running Picard CollectHsMetrics to compute hybrid selection metrics, refactored the targeted_analysis workflow to robustly handle input channels, and integrated metrics into the MultiQC reporting when requested, enhancing QC visibility. - Bedtools intersect module for targeted methylation analysis: introduced bedtools intersect module with configuration, environment setup, main workflow logic, tests, and support for the intersect_target parameter, enabling precise overlap analyses with user-specified regions. Impact: - Enhanced flexibility and precision for methylation analysis workflows, enabling more granular context selection and richer QC reporting. - Expanded capabilities for targeted methylation analyses, including intersection with user-defined regions and integration of hybrid selection metrics into reports. - Improved stability and test coverage, with successful testing against Bismark and more robust input-channel handling in workflows. Technologies/skills demonstrated: - Snakemake workflow refactoring and feature integration - Python scripting and configuration management for flags and contexts - Bedtools, Picard (CollectHsMetrics), and MultiQC integration - CI/testing practices and environment provisioning for reproducible analyses
3 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for nf-core/methylseq highlighting delivered features, stability improvements, and overall impact. Key achievements and outcomes: - Methylation analysis: added all_contexts flag and refactored context handling to provide granular control over methylation contexts in Bismark MethylationExtractor and MethylDackel, improving configurability and accuracy. - Picard CollectHsMetrics integration and reporting: enabled running Picard CollectHsMetrics to compute hybrid selection metrics, refactored the targeted_analysis workflow to robustly handle input channels, and integrated metrics into the MultiQC reporting when requested, enhancing QC visibility. - Bedtools intersect module for targeted methylation analysis: introduced bedtools intersect module with configuration, environment setup, main workflow logic, tests, and support for the intersect_target parameter, enabling precise overlap analyses with user-specified regions. Impact: - Enhanced flexibility and precision for methylation analysis workflows, enabling more granular context selection and richer QC reporting. - Expanded capabilities for targeted methylation analyses, including intersection with user-defined regions and integration of hybrid selection metrics into reports. - Improved stability and test coverage, with successful testing against Bismark and more robust input-channel handling in workflows. Technologies/skills demonstrated: - Snakemake workflow refactoring and feature integration - Python scripting and configuration management for flags and contexts - Bedtools, Picard (CollectHsMetrics), and MultiQC integration - CI/testing practices and environment provisioning for reproducible analyses
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GroovyNextflowNfYAML
Technical Skills
BioinformaticsBioinformatics Pipeline DevelopmentConfiguration ManagementGenomic Data AnalysisNextflowNextflow ScriptingWorkflow Management
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