text: user7185: I have recently found myself making multiple heatmaps for visualization of differential gene expression results between replicates in two experimental conditions.
  The default settings in the plotting software I use color:
  
  Upregulated genes --> red
  Downregulated genes --> green
  Unchanged genes --> black
  
  My intuition screams at me that this color scheme is reversed, and that upregulated genes should be green and that downregulated genes should be red. I have asked several labmates about their intuition regarding this color scheme, and have found about a 50/50 split in those that intuitively agree with each different scheme.
  In my searching on this topic, I have found that several programs plot heatmaps with the same default colors as the program I'm using (red=upregulated, green=downregulated). Additionally, I have been told in conversation that this is essentially an accepted standard.
  If this is indeed the convention, I will begin trying to rewire my intuition, but I want to confirm that it is before I do so. However I have not yet been able to find any "official" guidelines from agencies, publishers, authorities in the field, etc., specifying the use of red/green in heatmaps.
  I do know that there are many suggestions for alternative heatmap color schemes, but I'm interested in finding an official answer for the red/green scheme specifically.
  Edit: Several comments have stated that there is no such standard as described above. Therefore I am modifying the following question somewhat to:
  Are there "official" guidelines from agencies, publishers, authorities in the field, etc., specifying the use of red/green in heatmaps?
  Or conversely are there any “official” guidelines stating that there is no such specification and/or that any such selection of colors is acceptable?
  
  user1852: Although there is no standard as DeepTools' Devon Ryan said, there are still some habits. Usually red means upregulated, as you can see in the default color scheme in MATLAB's clustergram function. But you also want to make sure color-blinded people can see the difference. So another color scheme might be better, such as red=high while blue=low.
  Anyway, if you can easily flip the color, using red to represent high is expected.
  
  user35: As others already pointed out, there is no official heatmap color scheme. I am not sure there is an official color scheme for any other types of plots either.
  However, heatmaps seem to be far more standardized. Traditionally, heatmaps have been red-black-green as you originally stated. Most heatmaps from the microarray era and early RNA-seq are like that. You can have a heatmap for any type of data, but the majority is for gene expression. A lot of tools and tutorials were written back then, so they have that color scheme. From about 2008 to 2012, most people switched to the red-white-blue (or red-yellow-blue) color scheme. Switching green to blue avoids the color-blindness issue. Switching black to white is better for the ink if you print your papers and generally looks better on white background.
  I originally found red as high to be confusing because I was thinking in financial terms (if the market is red, it's down). Now I think of it as a water faucet (red is hot, blue is cold).
  Edit: In the last year or so, the viridis palette started to become widely used. It's far from the standard, but could become more popular in the future.
  
original_text: 7185: <p>I have recently found myself making multiple heatmaps for visualization of differential gene expression results between replicates in two experimental conditions.</p>
  <p>The default settings in the plotting software I use color:</p>
  <ul>
  <li>Upregulated genes --&gt; red</li>
  <li>Downregulated genes --&gt; green</li>
  <li>Unchanged genes --&gt; black</li>
  </ul>
  <p>My intuition <em>screams</em> at me that this color scheme is reversed, and that upregulated genes should be green and that downregulated genes should be red. I have asked several labmates about their intuition regarding this color scheme, and have found about a 50/50 split in those that intuitively agree with each different scheme.</p>
  <p>In my searching on this topic, I have found that <a href="https://docs.patricbrc.org/user_guides/organisms_taxon/transcriptomics_gene_heatmap.html#:%7E:text=The%20default%20color%20scheme%20is,off%20setting%20are%20colored%20black." rel="nofollow noreferrer">several programs</a> plot heatmaps with the same default colors as the program I'm using (red=upregulated, green=downregulated). Additionally, I have been told in conversation that this is essentially an accepted standard.</p>
  <p>If this is indeed the convention, I will begin trying to rewire my intuition, but I want to confirm that it is before I do so. However I have not yet been able to find any &quot;official&quot; guidelines from agencies, publishers, authorities in the field, etc., specifying the use of red/green in heatmaps.</p>
  <p>I do know that there are many <a href="https://blog.bioturing.com/2018/09/24/heatmap-color-scale/" rel="nofollow noreferrer">suggestions for alternative heatmap color schemes</a>, but I'm interested in finding an official answer for the red/green scheme specifically.</p>
  <p><strong>Edit:</strong> Several comments have stated that there is no such standard as described above. Therefore I am modifying the following question somewhat to:</p>
  <p><strong>Are there &quot;official&quot; guidelines from agencies, publishers, authorities in the field, etc., specifying the use of red/green in heatmaps?
  Or conversely are there any “official” guidelines stating that there is no such specification and/or that any such selection of colors is acceptable?</strong></p>
   1852: <p>Although there is no standard as DeepTools' Devon Ryan said, there are still some habits. Usually red means upregulated, as you can see in the default color scheme in MATLAB's clustergram function. But you also want to make sure color-blinded people can see the difference. So another color scheme might be better, such as red=high while blue=low.
  Anyway, if you can easily flip the color, using red to represent high is expected.</p>
   35: <p>As others already pointed out, there is no official heatmap color scheme. I am not sure there is an official color scheme for any other types of plots either.</p>
  <p>However, heatmaps seem to be far more standardized. Traditionally, heatmaps have been red-black-green as you originally stated. Most heatmaps from the microarray era and early RNA-seq are like that. You can have a heatmap for any type of data, but the majority is for gene expression. A lot of tools and tutorials were written back then, so they have that color scheme. From about 2008 to 2012, most people switched to the red-white-blue (or red-yellow-blue) color scheme. Switching green to blue avoids the color-blindness issue. Switching black to white is better for the ink if you print your papers and generally looks better on white background.</p>
  <p>I originally found red as high to be confusing because I was thinking in financial terms (if the market is red, it's down). Now I think of it as a water faucet (red is hot, blue is cold).</p>
  <p>Edit: In the last year or so, the <a href="https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html" rel="nofollow noreferrer">viridis</a> palette started to become widely used. It's far from the standard, but could become more popular in the future.</p>
  