genomic_func_heatmap: Genomic Functional Heatmap
In tbradley1013/KEGGerator: Identify genomic functionality with KEGG

This function will crteate a heatmap, either static (via ggplot2) or interactive (via plotly), that will allow for the visualization of genomes in a given dataset that complete different functions

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genomic_func_heatmap(data, otu_tibble = NULL, tax_tibble = NULL,
  ps_orig = NULL, interactive = TRUE, relative_abundance = FALSE,
  abundance_threshold = NULL, relative_abundance_threshold = NULL)

`data`	The output from either the `has_complete_function` or `has_specific_function`. If the output of `has_complete_function` is used, then it should be filtered to include only the desired modules prior to being passed into this function.
`otu_tibble,`	tax_tibble the output from `otu_tibble` and `tax_tibble`, respectively. Both of of these must be given or 'ps_orig' must be specified
`ps_orig`	the original phyloseq object that was used to create dataset passed to the 'data' argument
`interactive`	default TRUE; if TRUE, then the heatmap will be plotted with `plotly`. If FALSE, then the heatmap will be generated with `ggplot2`
`relative_abundance`	default FALSE; if TRUE the heatmap will use relative abundance as its fill color. If FALSE then abundance will be used
`abundance_threshold`	default NULL; The minimum abundance number required to be included in the heatmap
`relative_abundance_threshold`	default NULL; The minimum percent relative abundance requied to be included in the heatmap