caravagnalab/ProCESS-examples
Nov 2024 – Jul 2025
7 Months active
Languages Used
RShellBashGitGroovy
Technical Skills
BioinformaticsData VisualizationGenomic Data AnalysisGenomicsR ScriptingShell Scripting
azadsadr
PROFILE
Azadsadr
Azad Sadr developed and enhanced a suite of bioinformatics simulation and analysis tools in the caravagnalab/ProCESS-examples repository, focusing on genomic data visualization, simulation accuracy, and workflow automation. He implemented R and Shell scripting to build robust plotting utilities, automate tumor evolution data retrieval across multiple platforms, and refine simulation pipelines for greater realism and reproducibility. His work included parameter tuning, configuration management, and migration to containerized environments using Singularity and SLURM for HPC orchestration. By consolidating reporting workflows and improving code maintainability, Azad delivered solutions that streamline data processing, reduce manual intervention, and support reproducible, publication-ready genomic research outputs.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
20Total
Bugs
1
Commits
20
Features
8
Lines of code
1,998
Activity Months7
Work History
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered SPN06 Simulation Pipeline Upgrade to a newer ProCESS version, with updated singularity image path and mutation engine setup, and replaced legacy scripts with newer R-based tissue and mutation scripts. This improved accuracy, capabilities, and overall simulation reliability while preserving the core SPN06 workflow. No major bugs reported; groundwork laid for future enhancements and expanded experimentation.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered SPN06 Simulation Pipeline Upgrade to a newer ProCESS version, with updated singularity image path and mutation engine setup, and replaced legacy scripts with newer R-based tissue and mutation scripts. This improved accuracy, capabilities, and overall simulation reliability while preserving the core SPN06 workflow. No major bugs reported; groundwork laid for future enhancements and expanded experimentation.
July 2025
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025: Delivered a new Tumor Evolution Data Retrieval Utilities suite in caravagnalab/ProCESS-examples, expanding the R tooling to discover and retrieve tumor evolution data across multiple analysis platforms (PyClone, VIBER, SigProfiler, SparseSignatures) with robust path handling. Implemented and extended getters for drivers, subclonal results, QC, and signatures, plus a general utils script to support directory/file discovery and multi-tool retrieval. Refined file handling and getter outputs to improve reliability. Resolved a configuration issue by reconciling conflicts in Orfeo.config to align with the remote version and standardize process execution settings. These changes improve data retrieval reliability, reproducibility, and cross-tool compatibility, enabling faster data-driven insights with less manual effort and reduced environment drift.
June 2025
8 Commits • 1 Features
Jun 1, 2025June 2025: Delivered a new Tumor Evolution Data Retrieval Utilities suite in caravagnalab/ProCESS-examples, expanding the R tooling to discover and retrieve tumor evolution data across multiple analysis platforms (PyClone, VIBER, SigProfiler, SparseSignatures) with robust path handling. Implemented and extended getters for drivers, subclonal results, QC, and signatures, plus a general utils script to support directory/file discovery and multi-tool retrieval. Refined file handling and getter outputs to improve reliability. Resolved a configuration issue by reconciling conflicts in Orfeo.config to align with the remote version and standardize process execution settings. These changes improve data retrieval reliability, reproducibility, and cross-tool compatibility, enabling faster data-driven insights with less manual effort and reduced environment drift.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for caravagnalab/ProCESS-examples focusing on SPN06 Simulation Environment and Reporting Workflow Enhancements. Key features delivered: - SPN06 Simulation Environment and Reporting Workflow Enhancements: updated SPN06 simulation scripts with parameter adjustments, renamed internal clones for clarity, and migrated to a newer Singularity image to improve accuracy and readability. - Extended reporting/build workflow: added Singularity-based commands for merging RDS files and updated resource/output/report generation configurations, including SLURM partition settings to streamline the workflow. Major bugs fixed: - No major bugs fixed reported for this repository this month. Overall impact and accomplishments: - Improved simulation accuracy and readability, clearer code organization, and a more robust, reproducible SPN06 workflow. - Streamlined reporting and build processes, reducing turnaround time and potential for human error in resource/config management. Technologies/skills demonstrated: - Containerization and workflow automation using Singularity - Batch and HPC orchestration with SLURM - RDS-based reporting integration and data merging - Parameterization, naming clarity, and maintainability improvements Commit references: - a2107f015ea835ea4ffedba3d95a4d6aac013ab7 (SPN06 updates) - e0f99e567be63eb70781e1a07a18926357d8e721 (private changes)
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for caravagnalab/ProCESS-examples focusing on SPN06 Simulation Environment and Reporting Workflow Enhancements. Key features delivered: - SPN06 Simulation Environment and Reporting Workflow Enhancements: updated SPN06 simulation scripts with parameter adjustments, renamed internal clones for clarity, and migrated to a newer Singularity image to improve accuracy and readability. - Extended reporting/build workflow: added Singularity-based commands for merging RDS files and updated resource/output/report generation configurations, including SLURM partition settings to streamline the workflow. Major bugs fixed: - No major bugs fixed reported for this repository this month. Overall impact and accomplishments: - Improved simulation accuracy and readability, clearer code organization, and a more robust, reproducible SPN06 workflow. - Streamlined reporting and build processes, reducing turnaround time and potential for human error in resource/config management. Technologies/skills demonstrated: - Containerization and workflow automation using Singularity - Batch and HPC orchestration with SLURM - RDS-based reporting integration and data merging - Parameterization, naming clarity, and maintainability improvements Commit references: - a2107f015ea835ea4ffedba3d95a4d6aac013ab7 (SPN06 updates) - e0f99e567be63eb70781e1a07a18926357d8e721 (private changes)
May 2025
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 — ProCESS-examples (caravagnalab). Delivered two major feature sets and improved repository hygiene, driving realism, clarity, and maintainability. Key features delivered include the Tissue Simulation Pipeline Refactor and Treatment Modeling Enhancements, and Repository Hygiene Improvements focused on macOS artifact handling and cleanup. No critical bugs were reported this month; focus was on refactoring for realism and improving codebase cleanliness to reduce noise and accelerate collaboration. The combined impact is clearer simulation outputs, enhanced user-facing behavior, and a cleaner, more maintainable repository history.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 — ProCESS-examples (caravagnalab). Delivered two major feature sets and improved repository hygiene, driving realism, clarity, and maintainability. Key features delivered include the Tissue Simulation Pipeline Refactor and Treatment Modeling Enhancements, and Repository Hygiene Improvements focused on macOS artifact handling and cleanup. No critical bugs were reported this month; focus was on refactoring for realism and improving codebase cleanliness to reduce noise and accelerate collaboration. The combined impact is clearer simulation outputs, enhanced user-facing behavior, and a cleaner, more maintainable repository history.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a robust sequencing simulation enhancement in ProCESS-examples, tightening parameter tuning, boosting genome-wide plot coverage to 200X, and correcting output path handling to ensure reproducible results. This work enhances realism of simulations, streamlines data workflow, and reduces post-run debugging.
1 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a robust sequencing simulation enhancement in ProCESS-examples, tightening parameter tuning, boosting genome-wide plot coverage to 200X, and correcting output path handling to ensure reproducible results. This work enhances realism of simulations, streamlines data workflow, and reduces post-run debugging.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for caravagnalab/ProCESS-examples: Key features delivered include CNV simulation parameter tuning and output path updates. Major bugs fixed: none reported this month. Overall impact: improved CNV simulation accuracy and result consistency, enhanced reproducibility and downstream analysis readiness, contributing to faster research cycles and more reliable insights. Technologies/skills demonstrated: CNV parameter tuning, sequencing coverage optimization, updated output naming conventions, configuration management, and Git-based traceability.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for caravagnalab/ProCESS-examples: Key features delivered include CNV simulation parameter tuning and output path updates. Major bugs fixed: none reported this month. Overall impact: improved CNV simulation accuracy and result consistency, enhanced reproducibility and downstream analysis readiness, contributing to faster research cycles and more reliable insights. Technologies/skills demonstrated: CNV parameter tuning, sequencing coverage optimization, updated output naming conventions, configuration management, and Git-based traceability.
November 2024
2 Commits • 1 Features
Nov 1, 2024Summary for 2024-11: Delivered a Genomic data plotting and visualization enhancement for caravagnalab/ProCESS-examples, introducing a new plotting script that loads R packages, processes sequence and phylogenetic forest data into a CNAqc object, generates genome-wide plots, and exports them to PDF. The feature includes chromosome-specific VAF distributions and mutational signatures, with cleanup of unused code. No major bugs fixed this period; focus was on feature delivery and code quality. Business impact: provides a reproducible, publication-ready visualization workflow that accelerates interpretation of sequencing results and improves reporting. Technologies demonstrated: R scripting, data integration into CNAqc, plotting, PDF export, and code maintenance.
2 Commits • 1 Features
Nov 1, 2024Summary for 2024-11: Delivered a Genomic data plotting and visualization enhancement for caravagnalab/ProCESS-examples, introducing a new plotting script that loads R packages, processes sequence and phylogenetic forest data into a CNAqc object, generates genome-wide plots, and exports them to PDF. The feature includes chromosome-specific VAF distributions and mutational signatures, with cleanup of unused code. No major bugs fixed this period; focus was on feature delivery and code quality. Business impact: provides a reproducible, publication-ready visualization workflow that accelerates interpretation of sequencing results and improves reporting. Technologies demonstrated: R scripting, data integration into CNAqc, plotting, PDF export, and code maintenance.
November 2024
Activity
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Quality Metrics
Correctness82.0%
Maintainability83.0%
Architecture78.0%
Performance67.0%
AI Usage21.0%
Skills & Technologies
Programming Languages
BashGitGroovyRShell
Technical Skills
BioinformaticsComputational BiologyConfiguration ManagementData ProcessingData RetrievalData SimulationData VisualizationData retrievalGenomic Data AnalysisGenomicsHPCR ProgrammingR ScriptingScriptingShell Scripting
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