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. 2018 Jul 5;1:89. doi: 10.1038/s42003-018-0091-x

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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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Fig. 1 — The HTPmod Shiny application for high-throughput data modeling and visualization. a The overall design and workflow of HTPmod. b The growMod module for plant growth modeling. Example results shown here are based on data from ref. ¹. c The predMod application for predicting traits of interest from high-dimensional data using various prediction models. The upper panel shows the general workflow of predMod. The lower panel shows example output of regression (left) or classification (right) from predMod. d High-throughput data visualization with the htpdVis application. Example graphs are generated by htpdVis using data from refs. ^1,25