📌 Project Overview DNA-BERT is a deep learning-based approach for genomic sequence alignment using Bidirectional Encoder Representations from Transformers (BERT). This project compares DNA-BERT with traditional sequence alignment methods like Smith-Waterman and BWA, demonstrating its ability to provide high accuracy at real-time speeds.
🔹 Key Features: ✅ Fine-tuning DNA-BERT on synthetic genomic data ✅ Benchmarking against Smith-Waterman & BWA ✅ FastAPI Deployment for real-time alignment ✅ Performance visualization & insights