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. 2016 Feb 9;7:2. doi: 10.1186/s13326-016-0050-8

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© Oellrich 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 — The inclusion of weight as a source of variation. The distribution of weight inclusion in the PhenStat analysis of 85086 control-knockout datasets which covers 154 variables (average number datasets = 552) from the high throughput phenotyping data collected at the WTSI MGP. The PhenStat analysis was completed using the Mixed Model framework with a starting model that included weight. The model optimisation process means that the final model will only include weight if it is statistically significant in explaining variation in the data (p < 0.05)