caravagnalab/ProCESS-examples
Jul 2025 – Oct 2025
3 Months active
Languages Used
RShellBash
Technical Skills
BioinformaticsData AnalysisR ProgrammingData WranglingScriptingHigh-Performance Computing
elena-buscaroli
PROFILE
Elena-buscaroli
Ele Buscaroli developed and refactored subclonal deconvolution analysis workflows for the caravagnalab/ProCESS-examples repository, focusing on maintainability, reproducibility, and automation. Over three months, Ele reorganized R and Bash scripts to streamline mutation data processing, integrated results from multiple tools, and consolidated utilities for easier future extension. By introducing SLURM batch scripting and improving table-joining logic, Ele enhanced the reliability and scalability of subclonal analyses, reducing manual intervention and accelerating turnaround. The work demonstrated depth in bioinformatics, data wrangling, and high-performance computing, resulting in a more modular, automated pipeline that supports consistent, reproducible subclonal inference across diverse projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
991
Activity Months3
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10 — Key feature delivered: Subclonal Deconvolution Workflow Enhancements in caravagnalab/ProCESS-examples. Refactored R scripts to add directory existence checks and improved table-joining logic; introduced SLURM batch scripts to streamline job submission for generating and processing subclonal analysis tables. Commit 0f748422d59fc4714db2b379ba48d30a1dc529f5 ("minor changes to subclonal scripts"). No explicit major bug fixes recorded this month; minor adjustments were included within the feature work. Impact: Increased reliability and scalability of subclonal analyses, enabling faster, more reproducible results with reduced manual intervention. Business value: accelerates analysis turnaround, lowers risk of workflow failures, and improves batch processing efficiency. Technologies/skills demonstrated: R scripting, SLURM batch scripting, workflow refactoring, data-table joins, batch job orchestration.
1 Commits • 1 Features
Oct 1, 2025Month 2025-10 — Key feature delivered: Subclonal Deconvolution Workflow Enhancements in caravagnalab/ProCESS-examples. Refactored R scripts to add directory existence checks and improved table-joining logic; introduced SLURM batch scripts to streamline job submission for generating and processing subclonal analysis tables. Commit 0f748422d59fc4714db2b379ba48d30a1dc529f5 ("minor changes to subclonal scripts"). No explicit major bug fixes recorded this month; minor adjustments were included within the feature work. Impact: Increased reliability and scalability of subclonal analyses, enabling faster, more reproducible results with reduced manual intervention. Business value: accelerates analysis turnaround, lowers risk of workflow failures, and improves batch processing efficiency. Technologies/skills demonstrated: R scripting, SLURM batch scripting, workflow refactoring, data-table joins, batch job orchestration.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Delivered major refactor and reporting enhancements for the Subclonal Deconvolution Analysis Toolkit in caravagnalab/ProCESS-examples. Focused on modularity, reporting, and automation to support reproducible subclonal analyses across projects.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Delivered major refactor and reporting enhancements for the Subclonal Deconvolution Analysis Toolkit in caravagnalab/ProCESS-examples. Focused on modularity, reporting, and automation to support reproducible subclonal analyses across projects.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered a Subclonal Deconvolution Analysis Pipeline Refactor that reorganizes data processing, upgrades mutation data fetching, and streamlines the integration and merging of PyClone and ProCESS results to produce a unified analysis output. The refactor emphasizes maintainability, reproducibility, and clearer data provenance across the subclonal inference workflow.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered a Subclonal Deconvolution Analysis Pipeline Refactor that reorganizes data processing, upgrades mutation data fetching, and streamlines the integration and merging of PyClone and ProCESS results to produce a unified analysis output. The refactor emphasizes maintainability, reproducibility, and clearer data provenance across the subclonal inference workflow.
July 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability86.6%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashRShell
Technical Skills
BioinformaticsData AnalysisData WranglingHigh-Performance ComputingR ProgrammingScripting
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