CovertLab/vEcoli
Oct 2024 – Nov 2024
2 Months active
Languages Used
Jupyter NotebookPythonJSON
Technical Skills
Data AnalysisData ProcessingData VisualizationMatplotlibPandasPolars
Cyrus
PROFILE
Cyrus
Cyrus developed and refined data analysis workflows for the CovertLab/vEcoli repository, focusing on metalloproteome data ingestion, simulation, and visualization. Over two months, he delivered an end-to-end pipeline that processes accession-to-gene mappings, analyzes protein and metal abundance, and generates ready-to-share visualizations, including heatmaps and isotopic mappings. Using Python, Pandas, and Seaborn, he automated data wrangling and enhanced reproducibility through Jupyter Notebooks. His work included simulation workflow improvements for faster, more accurate results and new visualizations for cofactor contributions. The solutions reduced manual data handling, improved analytics readiness, and provided researchers with actionable insights for metalloproteome discovery.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
8,491
Activity Months2
Your Network
6 people
Work History
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 (CovertLab/vEcoli): Delivered two major feature developments with notable business value and improved reliability. Key features delivered include simulation workflow refinements and analysis notebook updates, plus cofactor contribution visualization. No major bugs fixed this month. Overall impact centers on faster, more accurate simulations and clearer data interpretation, supported by reproducible notebooks and data pipelines. Technologies demonstrated include Python data wrangling, plotting, and notebook automation; workflow refactoring to improve performance and analytics readiness.
3 Commits • 2 Features
Nov 1, 2024November 2024 (CovertLab/vEcoli): Delivered two major feature developments with notable business value and improved reliability. Key features delivered include simulation workflow refinements and analysis notebook updates, plus cofactor contribution visualization. No major bugs fixed this month. Overall impact centers on faster, more accurate simulations and clearer data interpretation, supported by reproducible notebooks and data pipelines. Technologies demonstrated include Python data wrangling, plotting, and notebook automation; workflow refactoring to improve performance and analytics readiness.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Delivered an end-to-end Metalloproteome workflow for CovertLab/vEcoli, enabling ingestion of accession-to-gene mappings, analysis of protein and metal abundance, and visualization. The work produced a data CSV for mapping, a Jupyter Notebook for processing and joining data with experimental conversion tables, and plotting enhancements (heatmaps and isotopic mappings) to surface proteins with unknown functions and accelerate metalloproteome discovery for researchers and decision-makers. This pipeline improves reproducibility, reduces manual data wrangling, and strengthens decision support by delivering ready-to-share visualizations and insights to stakeholders.
October 2024
2 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Delivered an end-to-end Metalloproteome workflow for CovertLab/vEcoli, enabling ingestion of accession-to-gene mappings, analysis of protein and metal abundance, and visualization. The work produced a data CSV for mapping, a Jupyter Notebook for processing and joining data with experimental conversion tables, and plotting enhancements (heatmaps and isotopic mappings) to surface proteins with unknown functions and accelerate metalloproteome discovery for researchers and decision-makers. This pipeline improves reproducibility, reduces manual data wrangling, and strengthens decision support by delivering ready-to-share visualizations and insights to stakeholders.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture72.0%
Performance76.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
Data AnalysisData ManipulationData ProcessingData VisualizationJuliaMatplotlibPandasPolarsPythonScientific ComputingSeabornSimulation
Repositories Contributed To
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