Genomic Sequence Analysis for Strain Phenotype Prediction

Industrial Microbiology › Machine Learning Strain Improvement Research

Genomic Sequence Analysis for Strain Phenotype Prediction

Interns will apply machine learning algorithms to analyze whole-genome sequencing data and identify genetic markers associated with desired phenotypes in industrial strains. They will build classification models to predict strain productivity and robustness based on genomic features.

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