Ana Guerrero Tamayo

• University of Deusto

The global impact of the SARS-CoV-2 pandemic has underscored the need for a deeper understanding of viral evolution to anticipate new viruses or variants. Genetic recombination is a fundamental mechanism in viral evolution, yet it remains poorly understood. In this study, we conducted a comprehensive research on the genetic regions associated with...

Traditionally, comparative and simultaneous analysis of multiple genomic sequences is performed using multiple sequence alignment algorithms. However, these algorithms are computationally complex, limiting the number of sequences that can be analyzed or requiring the comparison of only fragments, leading to a loss of information. Moreover, it is ne...

In this article, we introduce a novel methodology for characterizing viral genetic features: the Unified Methodology of recombinant virus Identification (UMI). Our methodology converts genomic sequences into spectrograms, applies transfer learning using a pre-trained Convolutional Neural Network (CNN), and employs interpretability tools to identify...