AUTHOR=Tattini Lorenzo , D’Aurizio Romina , Magi Alberto TITLE=Detection of Genomic Structural Variants from Next-Generation Sequencing Data JOURNAL=Frontiers in Bioengineering and Biotechnology VOLUME=3 YEAR=2015 URL=https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2015.00092 DOI=10.3389/fbioe.2015.00092 ISSN=2296-4185 ABSTRACT=

Structural variants are genomic rearrangements larger than 50 bp accounting for around 1% of the variation among human genomes. They impact on phenotypic diversity and play a role in various diseases including neurological/neurocognitive disorders and cancer development and progression. Dissecting structural variants from next-generation sequencing data presents several challenges and a number of approaches have been proposed in the literature. In this mini review, we describe and summarize the latest tools – and their underlying algorithms – designed for the analysis of whole-genome sequencing, whole-exome sequencing, custom captures, and amplicon sequencing data, pointing out the major advantages/drawbacks. We also report a summary of the most recent applications of third-generation sequencing platforms. This assessment provides a guided indication – with particular emphasis on human genetics and copy number variants – for researchers involved in the investigation of these genomic events.