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High-Throughput Data Modeling in Plants edited this page May 6, 2018 · 8 revisions

Welcome to the HTPmod ShinyApp Wiki!

HTPmod

HTPmod is a Shiny application for modeling and visualization of biological data especially from high-throughput experiments, such as HTP (high-throughput plant phenotyping) and HTS (high-throughput sequencing). Using HTPmod, you can

  • model plant growth using time-course HTP data.
  • apply different supervised machine-learning models for prediction purposes.
  • perform exploratory data mining from omics data sets such as phenome, transcriptome, and epigenome data.
  • visualize large-scale complex data sets.
  • ... and more!

Links

  1. Demo
  2. Code
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