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This gig provides advanced Data Science, Machine Learning, and Deep Learning solutions tailored specifically for Genetic Engineering and Biotechnology. It bridges the gap between complex genomic datasets and actionable biological insights.

The Gig Offers:

Bioinformatics & Genomic Data Science

• Processing, cleaning, and visualizing massive DNA, RNA, and Next-Generation Sequencing (NGS) datasets.
• Gene expression analysis and statistical modeling of genomic variants.

AI-Driven CRISPR & Gene Editing Design

• Building predictive machine learning models to optimize CRISPR guide RNA (gRNA) efficiency.
• Developing algorithms to detect and minimize off-target mutation risks.

Advanced Deep Learning & Synthetic Biology

• Creating custom neural networks (CNNs, RNNs, Transformers) for DNA/RNA sequence classification.
• Implementing protein structure prediction workflows and metabolic pathway simulations using tools like AlphaFold and Biopython.