Colorado-State-University-CMB/CM515-course-2025
Jan 2025 – Mar 2025
3 Months active
Languages Used
FASTAJupyter NotebookPythonBEDFASTQ
Technical Skills
BioinformaticsCommand-line ToolsData EngineeringData ExplorationJupyter NotebooksGit
jake
PROFILE
Jake
Jake Lamb contributed to the Colorado-State-University-CMB/CM515-course-2025 repository by developing and refining bioinformatics teaching materials and data resources. He built a comprehensive multi-species FASTA dataset and a Jupyter Notebook detailing bioinformatics file formats, both aimed at improving student onboarding and reproducible analysis. Using Python, Jupyter Notebooks, and command-line tools, Jake expanded and curated BED target regions for the hg38 genome, enhancing data coverage and clarity. He also improved repository hygiene by updating the .gitignore and removing deprecated materials, which streamlined collaboration and reduced clutter. His work demonstrated depth in data engineering, version control, and genomics-focused file management.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
724,939
Activity Months3
Your Network
9 people
Work History
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025: Focused on improving data quality and maintainability for the Colorado-State-University-CMB/CM515-course-2025 repository. Delivered initial expansion and refinement of hg38 BED target regions and completed housekeeping to remove outdated bioinformatics data formats and educational materials, reducing clutter and onboarding friction. All changes were tracked via Git commits to ensure reproducibility and traceability.
4 Commits • 1 Features
Mar 1, 2025March 2025: Focused on improving data quality and maintainability for the Colorado-State-University-CMB/CM515-course-2025 repository. Delivered initial expansion and refinement of hg38 BED target regions and completed housekeeping to remove outdated bioinformatics data formats and educational materials, reducing clutter and onboarding friction. All changes were tracked via Git commits to ensure reproducibility and traceability.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered repository hygiene improvement for the CM515-course-2025 project by updating the .gitignore to exclude generated and temporary files. This change reduces noise in version control, prevents accidental commits of build artifacts, and supports cleaner diffs and reviews. There were no major bugs fixed this month. Overall impact includes improved maintainability, faster CI checks, and clearer collaboration. Technologies/skills demonstrated include Git best practices, repository hygiene, and attention to detail in configuration management.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary: Delivered repository hygiene improvement for the CM515-course-2025 project by updating the .gitignore to exclude generated and temporary files. This change reduces noise in version control, prevents accidental commits of build artifacts, and supports cleaner diffs and reviews. There were no major bugs fixed this month. Overall impact includes improved maintainability, faster CI checks, and clearer collaboration. Technologies/skills demonstrated include Git best practices, repository hygiene, and attention to detail in configuration management.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 – CM515-course-2025 repository monthly summary. Delivered two major features to enhance bioinformatics teaching materials and hands-on training: a comprehensive FASTA dataset for multi-species analysis and a Bioinformatics file formats notebook. No major bugs fixed this month. Impact: accelerated student onboarding, reproducible analysis pipelines, and richer course content for the biosciences track. Demonstrated skills include Python, Jupyter notebooks, bioinformatics toolchains, data curation, and Git-based version control.
2 Commits • 2 Features
Jan 1, 2025January 2025 – CM515-course-2025 repository monthly summary. Delivered two major features to enhance bioinformatics teaching materials and hands-on training: a comprehensive FASTA dataset for multi-species analysis and a Bioinformatics file formats notebook. No major bugs fixed this month. Impact: accelerated student onboarding, reproducible analysis pipelines, and richer course content for the biosciences track. Demonstrated skills include Python, Jupyter notebooks, bioinformatics toolchains, data curation, and Git-based version control.
January 2025
Activity
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Quality Metrics
Correctness82.8%
Maintainability82.8%
Architecture82.8%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BEDFASTAFASTQJupyter NotebookPython
Technical Skills
BioinformaticsCommand Line ToolsCommand-line ToolsData CleaningData EngineeringData ExplorationFile ManagementGenomicsGitJupyter NotebooksVersion Control
Repositories Contributed To
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