[EN]DNA sequencing is one of the fields that has advanced the most in recent years within clinical
genetics and human biology. However, the large amount of data generated through next
generation sequencing (NGS) techniques requires advanced data analysis processes that are
sometimes complex and beyond the capabilities of clinical staff. Therefore, this work aims to
shed light on the possibilities of applying hybrid algorithms and explainable artificial
intelligence (XAI) to data obtained through NGS. The suitability of each architecture will be
evaluated phase by phase in order to offer final recommendations that allow implementation
in clinical sequencing workflows
