INSnet: a method for detecting insertions based on deep learning network.
Journal:
BMC bioinformatics
Published Date:
Mar 6, 2023
Abstract
BACKGROUND: Many studies have shown that structural variations (SVs) strongly impact human disease. As a common type of SV, insertions are usually associated with genetic diseases. Therefore, accurately detecting insertions is of great significance. Although many methods for detecting insertions have been proposed, these methods often generate some errors and miss some variants. Hence, accurately detecting insertions remains a challenging task.