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dc.contributor.authorSavara, Jakub
dc.contributor.authorNovosad, Tomáš
dc.contributor.authorGajdoš, Petr
dc.contributor.authorKriegová, Eva
dc.identifier.citationBioinformatics. 2021, vol. 37, issue 20, p. 3398-3404.cs
dc.description.abstractMotivation: Recent studies have shown the potential of using long-read whole-genome sequencing (WGS) approaches and optical mapping (OM) for the detection of clinically relevant structural variants (SVs) in cancer research. Three main long-read WGS platforms are currently in use: Pacific Biosciences (PacBio), Oxford Nanopore Technologies (ONT) and 10x Genomics. Recently, whole-genome OM technology (Bionano Genomics) has been introduced into human diagnostics. Questions remain about the accuracy of these long-read sequencing platforms, how comparable/interchangeable they are when searching for SVs and to what extent they can be replaced or supplemented by OM. Moreover, no tool can effectively compare SVs obtained by OM and WGS. Results: This study compared optical maps of the breast cancer cell line SKBR3 with AnnotSV outputs from WGS platforms. For this purpose, a software tool with comparative and filtering features was developed. The majority of SVs up to a 50 kbp distance variance threshold found by OM were confirmed by all WGS platforms, and similar to 99% of translocations and similar to 80% of deletions found by OM were confirmed by both PacBio and ONT, with similar to 70% being confirmed by 10x Genomics in combination with PacBio and/or ONT. Interestingly, long deletions (>100 kbp) were detected only by 10x Genomics. Regarding insertions, similar to 74% was confirmed by PacBio and ONT, but none by 10x Genomics. Inversions and duplications detected by OM were not detected by WGS. Moreover, the tool enabled the confirmation of SVs that overlapped in the same gene(s) and was applied to the filtering of disease-associated SVs.cs
dc.publisherOxford University Presscs
dc.rights© The Author(s) 2021. Published by Oxford University Press. All rights reserved.cs
dc.titleComparison of structural variants detected by optical mapping with long-read next-generation sequencingcs
dc.description.sourceWeb of Sciencecs

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