LiLabAtVT/I2GDS2024
Oct 2024 – Oct 2024
1 Month active
Languages Used
BashMarkdownPython
Technical Skills
BioinformaticsData AnalysisDocumentationPython ScriptingScriptingShell Scripting
Jiayu24
PROFILE
Jiayu24
Developed an automated genomic data analysis workflow for the LiLabAtVT/I2GDS2024 repository, focusing on streamlining multi-genome research processes. Leveraged Python and Bash scripting to automate downloading genome assemblies, running QUAST for quality assessment, processing Prodigal gene predictions, and performing MMseqs2 clustering and presence-absence analyses. Enhanced reproducibility and throughput by reducing manual intervention in data processing. Overhauled project documentation in Markdown, providing a comprehensive overview of the Microbiome Pipeline Tools, including usage guidelines, input and output requirements, dependencies, and tool references. These contributions accelerated onboarding for researchers and improved traceability and clarity across the project’s development history.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
1,031
Activity Months1
Your Network
53 peopleSame Organization
@vt.edu45
Work History
October 2024
3 Commits • 2 Features
Oct 1, 2024Month: 2024-10 – Delivered an automated genomic data analysis workflow and updated tooling documentation for LiLabAtVT/I2GDS2024. Implemented cross-language automation (bash and Python) to download genome assemblies, run QUAST quality assessment, process Prodigal gene predictions, and perform MMseqs2 clustering/presence-absence analyses to streamline multi-genome workflows. Updated README with Microbiome Pipeline Tools overview, usage guidelines, input/output requirements, dependencies, and links to key components. These efforts reduced manual processing, improved reproducibility, and accelerated onboarding for researchers and contributors.
3 Commits • 2 Features
Oct 1, 2024Month: 2024-10 – Delivered an automated genomic data analysis workflow and updated tooling documentation for LiLabAtVT/I2GDS2024. Implemented cross-language automation (bash and Python) to download genome assemblies, run QUAST quality assessment, process Prodigal gene predictions, and perform MMseqs2 clustering/presence-absence analyses to streamline multi-genome workflows. Updated README with Microbiome Pipeline Tools overview, usage guidelines, input/output requirements, dependencies, and links to key components. These efforts reduced manual processing, improved reproducibility, and accelerated onboarding for researchers and contributors.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
BashMarkdownPython
Technical Skills
BioinformaticsData AnalysisDocumentationPython ScriptingScriptingShell Scripting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline