Mstrawler
C+ 72 completed
Other
containerized / r · small
87
Files
8,292
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#1214789Phase
doneProgress
0%Started
2026-04-15 18:34:59Finished
2026-04-15 18:34:59LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
61.26Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:34Deduplication group #64830
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Repobility · MCP-ready · https://repobility.com
AI Prompt
Create an R package toolkit called msTrawler designed for analyzing multiplexed proteomics data. The core functionality should focus on finding a reliability threshold and accounting for signal-dependent heteroskedasticity. I need to include a function, like `convertPdFile`, that can convert proteome discoverer output files into an R dataframe. Please structure the project to be installable via `devtools` and include necessary documentation and tests.
r proteomics bioinformatics statistics data-analysis r-package pytest
Generated by gemma4:latest
Catalog Information
Create an R package toolkit called msTrawler designed for analyzing multiplexed proteomics data. The core functionality should focus on finding a reliability threshold and accounting for signal-dependent heteroskedasticity. I need to include a function, like convertPdFile, that can convert proteome discoverer output files into an R dataframe. Please structure the project to be installable via devtools and include necessary documentation and tests.
Tags
r proteomics bioinformatics statistics data-analysis r-package pytest
Quality Score
C+
71.7/100
Structure
76
Code Quality
60
Documentation
77
Testing
70
Practices
63
Security
100
Dependencies
90
Strengths
- Good test coverage (238% test-to-source ratio)
- Code linting configured (ruff (possible))
- Good security practices — no major issues detected
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- No CI/CD configuration — manual testing and deployment
- 751 duplicate lines detected — consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Recommendations
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
Languages
Frameworks
pytest
Symbols
function39
variable23
constant2
class1
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All packages →3 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.