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. 2021 Aug 23;22:240. doi: 10.1186/s13059-021-02464-2

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — An integrated computational pipeline for designing CRISPRi sgRNA library to screen for functional human pseudogenes and parent genes. A A workflow of the sgRNA library design for pseudogene-focused CRISPRi screen. B The number of sgRNAs targeting pseudogene, parent genes, and positive and negative control sgRNAs that were included in the screen. C The pie chart showing the percentage of different types of pseuodgenes included in the screen. D The distribution of the number of pseudogenes per parent gene that were included in the screen