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. 2020 Aug 12;10:13585. doi: 10.1038/s41598-020-70239-z

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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 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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Compute time when running a random experimental gene set from MSigDB. 100 different gene sets were tested against KEGG, REACTOME and KEGG plus REACTOME pathways, for each of the network-based methods. Since ANUBIX allows parallelization we also added another run with 4 cores. The error bars show the variability in compute time for each of the methods in each of the databases. The BinoX precomputation step is not included since it takes 22 min. Software: R version 3.4.3 https://www.r-project.org/.