Comprehensive evaluation and characterisation of short read general-purpose structural variant calling software
- Author(s)
- Cameron, DL; Di Stefano, L; Papenfuss, AT;
- Details
- Publication Year 2019-07-19,Volume 10,Issue #1,Page 3240
- Journal Title
- Nature Communications
- Publication Type
- Journal Article
- Abstract
- In recent years, many software packages for identifying structural variants (SVs) using whole-genome sequencing data have been released. When published, a new method is commonly compared with those already available, but this tends to be selective and incomplete. The lack of comprehensive benchmarking of methods presents challenges for users in selecting methods and for developers in understanding algorithm behaviours and limitations. Here we report the comprehensive evaluation of 10 SV callers, selected following a rigorous process and spanning the breadth of detection approaches, using high-quality reference cell lines, as well as simulations. Due to the nature of available truth sets, our focus is on general-purpose rather than somatic callers. We characterise the impact on performance of event size and type, sequencing characteristics, and genomic context, and analyse the efficacy of ensemble calling and calibration of variant quality scores. Finally, we provide recommendations for both users and methods developers.
- Publisher
- Springer Nature
- Research Division(s)
- Bioinformatics
- PubMed ID
- 31324872
- Publisher's Version
- https://doi.org/10.1038/s41467-019-11146-4
- Open Access at Publisher's Site
https://doi.org/10.1038/s41467-019-11146-4- NHMRC Grants
- NHMRC/1054618, NHMRC/1116955,
- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2019-07-26 09:44:13
Last Modified: 2019-07-26 11:46:04