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. 2019 Apr 15;4:8. doi: 10.1038/s41525-019-0081-z

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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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Fig. 5 — Ontology analysis of 3435 candidate prenatal/infantile lethal genes. Gene Ontology categories enriched among 3435 candidate prenatal/infantile lethal genes compared with all 19,196 protein-coding genes as a background were visualised using BiNGO cytoscape plugin. Size of circles is proportional to the number of genes in the ontology category and colour is proportional to the p-value of enrichment of this GO term. Layout was manually organised for ease of interpretation, with biological process enriched terms separated into four categories: (1) Growth, differentiation, cell cycle; (2) Signalling; (3) Development and (4) Metabolic processes. Some ontology terms are abbreviated for readability