Strategies for Improving Accuracy of Structural Variation Prediction Using Read Pairs

A substantial number of sequencing-based methods for discovering structural variation have recently sprung up, among which technologies utilizing read pairs have made significant progress in providing high accuracy. Based on in-depth analysis of the state-of-the-art computational methods for identifying structural variation with read pairs, strategies for improving accuracy of structural variation prediction are summarized and classified into several categories, such as conservative mapping, clustering, distribution-based strategies and so on. Specific elaboration and concrete comparison of the strategies are carried on. It may become a future trend to develop an approach that is an organic combination of multi-class strategies for structural variation detection.