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. 2019 Jul 17;9:10383. doi: 10.1038/s41598-019-46875-5

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Comparison of quality metric for libraries sequenced on the NovaSeq and HiSeq X sequencing platforms. (a) Raw reads with sequencing quality > Q20 or > Q30. Values from Read 1 and Read 2 were analyzed separately. (b) Bases trimmed due to low quality (<Q20). (c) Read duplicates (read-pairs). Read duplicates were defined as two read-pairs with the same start and end positions. (d) Effective sequencing depth, calculated based on mapped reads after read duplicates removal, with overlapping bases counted only once. (e) Average depth per billion raw read pairs. All libraries were generated by the Swift library preparation kit. The same libraries were split into two and sequenced independently on NovaSeq 6000 and HiSeq X. n.s.: not statistically significant, P > 0.05, *P < 0.05, **P < 0.01, ***P < 0.001. Bars show average values, with error bars representing standard error of mean.