Marmot

C 68 completed
Data Tool
web_app / json · small
123
Files
33,213
LOC
4
Frameworks
11
Languages

Pipeline State

completed
Run ID
#369854
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
78.67
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #61699
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Frontend
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.

AI Prompt

Create a comprehensive R pipeline tool, similar to MARMOT, for analyzing spectral flow cytometry data from organoid research. The tool should handle the entire workflow, including clustering, dimensionality reduction (like UMAP and t-SNE), and visualization. I need the ability to run this via a standalone GUI app, but also provide the necessary R code to install and run the pipeline, ideally integrating with a Shiny app for interactive result exploration. Please ensure the process supports metadata input via Excel and allows for exporting results.
r r-scripting bioinformatics flow-cytometry data-analysis shiny clustering dimensionality-reduction
Generated by gemma4:latest

Catalog Information

This R-based pipeline processes spectral flow cytometry data, performing clustering, dimensionality reduction, and visualization for organoid research.

Description

The pipeline ingests spectral flow cytometry files and applies a series of preprocessing steps to correct for spillover and normalize signals. It then performs unsupervised clustering using algorithms such as FlowSOM and Rphenograph, followed by dimensionality reduction with UMAP, t‑SNE, and optional PARC or PaCMAP. Results are compiled into a comprehensive report that includes heatmaps, violin plots, and interactive visualizations. A Shiny application allows users to explore clusters, export PDFs, and generate FCS files for downstream analysis. The tool is designed for researchers working with organoid models who need a reproducible, code‑free workflow.

الوصف

يستقبل الخط أنابيب ملفات التدفق الطيفي ويطبق سلسلة من خطوات المعالجة المسبقة لتصحيح التداخل وتطبيع الإشارات. ثم يُجرى التجميع غير الموجه باستخدام خوارزميات مثل FlowSOM وRphenograph، يليه تقليل الأبعاد باستخدام UMAP وt‑SNE، مع إمكانية استخدام PARC أو PaCMAP. تُجمع النتائج في تقرير شامل يتضمن خرائط الحرارة، مخططات القلم، ومخططات تفاعلية. يتيح تطبيق Shiny للمستخدمين استكشاف التجمعات، تصدير ملفات PDF، وإنشاء ملفات FCS للمعالجة اللاحقة. تم تصميم الأداة للباحثين الذين يعملون مع نماذج الأعضاء المجهرية ويحتاجون إلى سير عمل قابل للتكرار وخالي من الكود.

Novelty

7/10

Tags

flow-cytometry-analysis spectral-data-processing clustering dimensionality-reduction visualization organoid-research data-pipeline

Claude Models

claude-opus-4.6

Quality Score

C
67.5/100
Structure
59
Code Quality
80
Documentation
46
Testing
65
Practices
66
Security
92
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)
  • Properly licensed project

Weaknesses

  • 1 files with critical complexity need refactoring
  • 891 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a linter configuration to enforce code style consistency

Security & Health

14.1h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility · open methodology · https://repobility.com/research/
MIT
License
7.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
54.5%
r
26.8%
svelte
10.2%
rust
4.4%
javascript
1.2%
yaml
0.9%
python
0.7%
markdown
0.6%
html
0.3%
css
0.2%
toml
0.1%

Frameworks

Svelte SvelteKit Tauri Vite

Concepts (2)

Findings curated by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
auto_descriptionProject DescriptionMultifaceted R Pipeline for Measuring Spectral Flow Cytometry Data80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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