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Expand file tree Collapse file tree Original file line number Diff line number Diff line change 1- You can view the web guide from this link: https://lucianoad.github.io/transcriptomic_data_analysis/
1+ <h1 align =" center " >Practical Transcriptomics with R</h1 >
2+
3+ <p align =" center " >
4+ Educational workflow for transcriptomic preprocessing, GEO data exploration and reproducible bioinformatics analysis
5+ </p >
6+
7+ <p align =" center " >
8+
9+ ![ Status] ( https://img.shields.io/badge/STATUS-IN%20DEVELOPMENT-orange )
10+ ![ License] ( https://img.shields.io/badge/LICENSE-MIT-green )
11+ ![ R] ( https://img.shields.io/badge/R-Bioinformatics-blue )
12+ ![ Quarto] ( https://img.shields.io/badge/Quarto-Documentation-purple )
13+
14+ </p >
15+
16+ ---
17+
18+ ## 🌐 Live Project
19+
20+ ** Documentation website**
21+
22+ : contentReference [ oaicite:0] { index =0 }
23+
24+ ---
25+
26+ ## 📌 Project Summary
27+
28+ Tutorial-style transcriptomics workflow designed to transform raw GEO datasets into analysis-ready data.
29+
30+ The project demonstrates practical skills in:
31+
32+ - GEO data retrieval
33+ - Metadata filtering
34+ - Transcriptomic preprocessing
35+ - Quality control
36+ - Normalization strategies
37+ - Reproducible workflows
38+ - Data preparation for downstream analyses
39+
40+ ---
41+
42+ ## 🛠 Tech Stack
43+
44+ ** Languages & Tools**
45+
46+ ` R ` ` Quarto ` ` Bioconductor `
47+
48+ ** Packages**
49+
50+ ` GEOquery ` ` tidyverse ` ` limma ` ` edgeR ` ` sva ` ` ggplot2 `
51+
52+ ---
53+
54+ ## 🔬 Workflow
55+
56+ ``` text
57+ GEO datasets
58+ ↓
59+ Metadata exploration
60+ ↓
61+ Sample filtering
62+ ↓
63+ Quality control
64+ ↓
65+ Normalization
66+ ↓
67+ Preprocessed dataset
68+ ```
69+
70+ ---
71+
72+ ## 📂 Repository Structure
73+
74+ ``` plaintext
75+ .
76+ ├── Searching_data/
77+ ├── Preprocessing_data/
78+ ├── index.qmd
79+ ├── custom.css
80+ └── README.md
81+ ```
82+
83+ ---
84+
85+ ## 🚧 Current Status
86+
87+ Completed:
88+
89+ ✔ GEO retrieval
90+ ✔ Metadata exploration
91+ ✔ Sample filtering
92+ ✔ QC visualization
93+ ✔ Normalization concepts
94+
95+ Planned:
96+
97+ ⬜ Differential expression
98+ ⬜ Batch correction
99+ ⬜ RNA-seq workflows
100+ ⬜ ML applications
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