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NanoVar: accurate characterization of patients’ genomic structural variants using low-depth nanopore sequencing


The recent advent of third-generation sequencing technologies brings promise for better characterization of genomic structural variants by virtue of having longer reads. However, long-read applications are still constrained by their high sequencing error rates and low sequencing throughput.

Here, we present NanoVar, an optimized structural variant caller utilizing low-depth (8X) whole-genome sequencing data generated by Oxford Nanopore Technologies.

NanoVar exhibits higher structural variant calling accuracy when benchmarked against current tools using low-depth simulated datasets. In patient samples, we successfully validate structural variants characterized by NanoVar and uncover normal alternative sequences or alleles which are present in healthy individuals.

Github: https://github.com/benoukraflab/NanoVar

Authors: Cheng Yong Tham, Roberto Tirado-Magallanes, Yufen Goh, Melissa J. Fullwood, Bryan T.H. Koh, Wilson Wang, Chin Hin Ng, Wee Joo Chng, Alexandre Thiery, Daniel G. Tenen, Touati Benoukraf

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