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. 2020 Nov 12;10:19634. doi: 10.1038/s41598-020-76628-8

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© The Author(s) 2020

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Computational analysis of HS2/HS3 transcripts quantity in GV and MII individual oocyte transcriptomes published by Reyes et al.²². (a) TPM calculated for transcripts clustered using UCLUST (see “Materials and methods”); (b) Total TPM of three already-known HS2/HS3 sequences: X60726.1, S90110.1, X82942.1. The already-known sequences were taken as references to compare their TPM value with the TPM value of clustered transcripts shown in (a). X-axis, donor ID as shown in the publication. Y-axis, percentage of HS2/HS3 TPM in MII (GV HS2/HS3 TPM value is set to 100% in each GV–MII pair from the same donor). The absolute clusters’ TPM values are given in Supplementary Table 2.