SHODHAKHA – Life Science Automation Scripts 🚀🧬

This repository contains automation, reporting, and data-analysis scripts developed for SHODHAKHA, a life-science–focused startup initiative.

The scripts support bioinformatics data processing, disease–gene analysis, report generation, and workflow automation, aimed at accelerating research insights and documentation.

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🧠 About SHODHAKHA

SHODHAKHA is a life science startup concept focused on:

• Automated biological data analysis
• Disease–gene knowledge extraction
• Research report generation
• Translational bioinformatics support

This repository represents early-stage technical prototyping and internal tooling.

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📁 Repository Contents

🔹 Automation Scripts

• automate.py
  → Core automation workflow for data processing

• automate_off_entre.py
  → Offline / alternate automation pipeline

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🔹 Analysis & Reporting Scripts

• geneClusteringReport.py
  → Gene clustering and analytical report generation

• termClusteringReport.py
  → Term / keyword clustering analysis

• tableReport.py
  → Tabular summary report creation

• chartReport.py
  → Automated chart and visualization generation

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🔹 Input Data Files

• disease.txt
• disease_entrez.txt
• tcr_disease.txt

These files store disease terms, Entrez-mapped disease data, and curated inputs used by the analysis pipelines.

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🔹 Output & Assets

• output.Shodhaka.docx
  → Auto-generated research report

• image.png
  → Visualization or report asset

• WEBSITE_HTML CODE.txt
  → Prototype HTML code for SHODHAKHA web interface

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⚙️ Technology Stack

• Language: Python 3
• Domain: Bioinformatics, Life Sciences, Data Automation
• Outputs: Tables, charts, Word reports, structured summaries

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🚀 How to Use

1. Clone the repository:

   git clone https://github.com/lokaaaaaaa/SHODHAKHA-startup-scripts.git
   cd SHODHAKHA-startup-scripts

Install required dependencies (as needed):

pip install pandas matplotlib seaborn

Run automation:

python automate.py

Generate specific reports:

python geneClusteringReport.py python chartReport.py