bioconda/bioconda-recipes
Jan 2026 – Jan 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Python scriptingcommand line interface developmentpackage management
JMK
PROFILE
Jmk
Developed the MAG Refinement CLI tool 'itBins' within the bioconda/bioconda-recipes repository to automate the refinement of metagenome-assembled genomes, streamlining a previously manual process. The work involved designing a command line interface using Python, along with creating a Bioconda-compatible build script and YAML metadata to support robust package management. By integrating these components, the project enabled reproducible workflows and simplified deployment for users in bioinformatics. Collaboration with the team focused on co-authoring packaging and documentation, ensuring readiness for scalable distribution. The technical approach emphasized automation, reproducibility, and maintainability, leveraging Python scripting and command line development throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
38
Activity Months1
Your Network
609 peopleShared Repositories
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Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered the MAG Refinement CLI tool 'itBins' to automate refinement of metagenome-assembled genomes (MAGs). Implemented a Bioconda-friendly recipe, including a build script and metadata for package management, enabling streamlined packaging and distribution. This work reduces manual steps in MAG processing and improves reproducibility of workflows.
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered the MAG Refinement CLI tool 'itBins' to automate refinement of metagenome-assembled genomes (MAGs). Implemented a Bioconda-friendly recipe, including a build script and metadata for package management, enabling streamlined packaging and distribution. This work reduces manual steps in MAG processing and improves reproducibility of workflows.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Python scriptingcommand line interface developmentpackage management
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