Biotechnology & IT Roadmap

Step by step guide to becoming an Biotechnology & IT Developer.

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1 Interdisciplinary Foundations

Basic Sciences
Math & Statistics
Programming

2 Core Bioinformatics

Introduction to Bioinformatics
Biological Databases
Sequence Analysis & Alignment
Genomics & Proteomics

3 Biological Data Analysis

Python Data Science Libraries
Applied Machine Learning
Deep Learning in Biology

4 Specialized Programming & Tools

BioPython
R Language & Bioconductor
Command Line & Shell Scripting

5 Application Areas

NGS Data Analysis
Drug Design & Discovery
Systems Biology

6 Data Management & Operations

LIMS
Cloud Computing for Bioinformatics
Ethics & Data Governance

7 Future Trends & Specialization

AI in Drug Development
Personalized Medicine
Synthetic Biology

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