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. 2016 Feb 25;17:135. doi: 10.1186/s12864-016-2491-y

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© Okagaki et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 4 — Transcription factor analysis of orthologs and unique genes. InterProScan was used to identify orthologous clusters (left) and unique genes (right) that had putative transcription factor activity. Custom Python scripts were used to count clusters or genes with each InterPro domain type