--- license: mit title: The Genomic Oracle sdk: static emoji: 🔥 colorFrom: indigo colorTo: purple short_description: UMGC Bioinformatics Capstone --- # 🧬 The Genomic Oracle 🧬 **University of Maryland Global Campus (UMGC) | Bioinformatics Capstone Project** Welcome to the official repository for **The Genomic Oracle**, a cascaded machine learning pipeline designed for high-precision DNA sequence classification and phenotypic prediction. ## Our Mission As genomic datasets grow exponentially, the need for rapid, automated sequence annotation is critical. The Genomic Oracle serves as an intelligent routing network, evaluating raw DNA sequences through a multi-stage gauntlet to classify their biological function, structural feature type, and associated phenotypic risks. ## The 4-Stage Cascading Architecture Our platform utilizes a highly specialized, branching AI architecture hosted on Hugging Face ZeroGPU infrastructure: 1. **Level 1: The Gene Finder (Coding vs. Non-Coding):** A logistic regression machine learning classifier that rapidly screens raw k-mer vectors to identify protein-coding potential. 2. **Level 2: The Multi-Feature Classifier (LightGBM):** Sequences flagged as coding are passed through a LightGBM gradient boosting model to classify them into one of 7 highly specific structural features. 3. **Level 3: Phenotype Classification (Lean vs. Obese):** A custom ALiBi-configured BERT architecture evaluates specific coding regions to predict downstream phenotypic associations. 4. **Level 4: The Promoter Network (DNABERT-2):** Sequences flagged as non-coding are routed to a neural network transformer model that analyzes spatial attention tensors to identify regulatory promoter regions. **Integration:** The pipeline concludes with an automated API routing to NCBI and Ensembl databases for real-world chromosomal coordinate mapping and validation. ## The Team We are a team of graduate researchers specializing in data science, machine learning, and bioinformatics. Created by: Kadir Galindo, Duncan Hall, Rebecca Mellinger, George Paccione