Structural variations (SVs) are one of the genetic markers in the human genome and detecting them by using ultra high-throughput genome sequencing techniques has vital significance for genetic and evolutionary studies. In recent decades, bioinformatics techniques based on next-generation sequencing (NGS) have become a research focus owing to its high resolution and accuracy. Moreover, NGS devices are becoming cheaper. In this survey, we will summarize current methods based on next-generation sequencing algo- rithms for SVs detection and discuss the impacts of them. We also analyze the problems and give an outlook for the future research directions.
['Zhen-Le Wei']
Recent Progress of Structural Variations Detection Algorithms Based on Next-Generation Sequencing: A Survey