VariantX

Deep learning bioinformatics pipeline that ingests raw genomic sequence data to classify pathogenic DNA mutations.

THE PROBLEM

Manually interpreting whether a genomic sequence mutation is benign or pathogenic is computationally intensive and requires clinical bioinformatics expertise.

WHAT I BUILT

●Python deep-learning architecture trained on curated clinical genomic variant datasets
●Automated feature extraction and classification of mutation pathogenicity directly from raw sequence strings

TECHNOLOGY STACK

Python

Deep Learning

TECHNICAL HIGHLIGHT

Demonstrates domain adaptability by applying rigorous software engineering and model evaluation techniques to clinical bioinformatics and genomics data.

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