Genomic Variant Calling Using Machine Learning

Bioinformatics › Machine Learning Sequence Alignment Research

Genomic Variant Calling Using Machine Learning

Interns will implement ML-based approaches to identify and classify genetic variants from DNA sequencing data by leveraging sequence alignment outputs. This work includes building classification models to distinguish true variants from sequencing artifacts and optimizing alignment-to-variant pipelines for clinical accuracy.

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