CORDIS Project
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This project develops machine learning methods to predict the effects of single nucleotide variations in human proteins. By analyzing genetic and structural data, it aims to identify mutations linked to diseases and improve therapeutic strategies.
The Single Nucleotide Polymorphisms (SNPs) are the main cause of the sequence variability in human.
For this reason, the prediction of the impact of SNPs is one of the most challenging problems in computational biology and bioinformatics.
The increasing growth of the genome-scale studies is providing a large amounts of SNP data, allowing the application of rigorous statistical approaches for predicting whether a given single point mutation has an effect on human health.
In spite of the scientifi…
UNIVERSIDAD DE LAS ISLAS BALEARES
UNIVERSITAT DE LES ILLES BALEARS
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