Jorge Avila Cartes

Abstract Several computational methods for the differential analysis of alternative splicing (AS) events among RNA-seq samples typically rely on estimating isoform-level gene expression. However, these approaches are often error-prone due to the interplay of individual AS events, which results in different isoforms with locally similar sequences. Moreover, methods based on isoform-level quantification usually need annotated transcripts.

1. Introduction Tourism has changed as an industry and as a social phenomenon in recent years. The industry has made significant efforts to improve the customer experience by integrating different technologies as well as process automation, saving time, and creating personalized and smooth trips for tourists. This is the so-called Tourism 4.0. Implementing these technologies may improve customer experience before, during, and after the trip [].