Technical projects

Gene prediction can be approached from multiple perspectives, but single nucleotide variants (SNVs) provide a simplified method by reducing the amount of required biological information. In this work, we formalize an approach that leverages codon-related features extracted from reference genome reads (SNV-based information) to train a machine learning model for gene prediction.