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. 2018 Mar 14;8:4520. doi: 10.1038/s41598-018-22129-8

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© The Author(s) 2018

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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Performance of PromPredict in less responsive and more responsive genes. Top and bottom ten percentile list of gene (or) promoter sequences considered for this analysis. The dataset contains 459 genes in each category. (a) The frequency of genes in each class of biological process has been plotted to compare the two classes of genes. The less responsive genes are overrepresented in few biological processes compared to more responsive genes. The genes categorized in the gene ontology GO SLIM categories were retrieved from Saccharomyces genome database (http://www.yeastgenome.org/). (b) AFE profiles plotted using 15 nt window shows the differences in the distribution of low stability regions for two classes of gene promoters. (c) Precision and recall values shown as bar plot suggest that PromPredict comparatively a better predictor for more responsive genes. The −500 to +100 region relative to TSS is considered as true positive region.