Work

Detection of Genomic Structural Variants from Next-Generation Sequencing Data

Year: 2015
Type: review
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.
Language: English
Subfield: Genetics
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W1544712555
FWCI: 4.216
Cites: 123
Cited by: 284
Related to: 10