zamprof123/rp1b_task1
Nov 2024 – Apr 2025
3 Months active
Languages Used
PythonTextShelltext
Technical Skills
Basic ProgrammingConditional StatementsFile I/OList SlicingLoopsProblem Solving
Ery21
PROFILE
Ery21
Over three months, contributed to the zamprof123/rp1b_task1 repository by developing six features focused on bioinformatics workflows and data analysis. Built a reproducible variant analysis pipeline using Python and Shell scripting, enabling end-to-end SNP and indel detection, sample comparison, and alignment visualization. Enhanced cell cycle analysis by implementing rolling average smoothing and per-track time-series visualization, improving interpretability of biological data. Established a clean project baseline through repository cleanup and structured onboarding documentation. Emphasized reproducibility and maintainability by providing detailed usage guides and Q&A documentation, leveraging skills in genomics, data visualization, and scientific computing to support downstream analysis and collaboration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
6
Lines of code
255
Activity Months3
Your Network
21 peopleSame Organization
@bath.ac.uk10
Work History
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for zamprof123/rp1b_task1. Delivered data visualization improvements for cell cycle analysis and formal Python script documentation. These changes deliver clearer insights into cell cycle progression and improve repository maintainability.
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for zamprof123/rp1b_task1. Delivered data visualization improvements for cell cycle analysis and formal Python script documentation. These changes deliver clearer insights into cell cycle progression and improve repository maintainability.
April 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered an end-to-end Variant Analysis Workflow and accompanying documentation for zamprof123/rp1b_task1. The feature provides a reproducible pipeline (conda environment setup, bios/tools installation, read mapping, SNP/indel calling, generation of depth files for three samples, BAM indexing, and alignment visualization) and comprehensive Q&A documentation detailing SNP/indel analysis, sample comparisons, and environmental factors affecting INDELs. This work enhances data quality, reproducibility, and decision-support for downstream analyses, with clear traceability to commits.
December 2024
3 Commits • 1 Features
Dec 1, 2024Month 2024-12: Delivered an end-to-end Variant Analysis Workflow and accompanying documentation for zamprof123/rp1b_task1. The feature provides a reproducible pipeline (conda environment setup, bios/tools installation, read mapping, SNP/indel calling, generation of depth files for three samples, BAM indexing, and alignment visualization) and comprehensive Q&A documentation detailing SNP/indel analysis, sample comparisons, and environmental factors affecting INDELs. This work enhances data quality, reproducibility, and decision-support for downstream analyses, with clear traceability to commits.
November 2024
8 Commits • 3 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered Rosalind-related artefacts and established a clean baseline for future exercises in zamprof123/rp1b_task1. Key outputs include an output file for Rosalind INI4-2, scaffolding and cleanup for Rosalind Task-1, and a comprehensive Task-1 Rosalind solutions file. These deliverables enable faster validation, easier onboarding for new contributors, and a foundation for repeatable assessments and automation.
8 Commits • 3 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered Rosalind-related artefacts and established a clean baseline for future exercises in zamprof123/rp1b_task1. Key outputs include an output file for Rosalind INI4-2, scaffolding and cleanup for Rosalind Task-1, and a comprehensive Task-1 Rosalind solutions file. These deliverables enable faster validation, easier onboarding for new contributors, and a foundation for repeatable assessments and automation.
November 2024
Activity
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Quality Metrics
Correctness84.6%
Maintainability84.6%
Architecture84.6%
Performance83.0%
AI Usage23.0%
Skills & Technologies
Programming Languages
PythonShellTexttext
Technical Skills
Basic ProgrammingBioinformaticsConditional StatementsData AnalysisData VisualizationFile I/OGenomic AnalysisGenomicsList SlicingLoopsProblem SolvingScientific ComputingShell ScriptingString ManipulationVariant Calling
Repositories Contributed To
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