DNA seen through the eyes of a coder (2017)
As someone building software to design genetic tools, this is actually a pretty good overview.  It&#x27;s analogies are pretty solid, even if they are just analogies.  It&#x27;s a well-described snapshot of the early phase of education where this helps build a grand intuition and relations between disciplines. Just be careful to remember that they&#x27;re just analogies, and in general can&#x27;t be relied on to actually discover, invent, design or conclude.<p>The fun part for everyone here is that the science has improved so far so quickly that at this point that we <i>are</i> starting to be able to improve, implement and otherwise make good on those coding-style capabilities.  We can start to write, patch, update, and affect that code - and do so in intelligent and rational ways, rather than the screens set up in the past century.<p>The next section I would add would be one that actually started to talk about the compiled programs - the protein&#x27;s themselves.  All that code, all those rules, all those heuristics are there to be run through an atomic 3D-printer to produce proteins.  And in an ensemble, those proteins form a closed community within a cell, which then form communities in a tissue, which form in communities called an organism.  Those compiled proteins actually do the work at the lowest levels but often get a bit of short shrift while we all stare at their source-code in amazement.  The source is elegant, but the programs are even more amazing, in my humble opinion.<p>Here are some &#x27;profiles&#x27; of the kinds of economically and socially interesting programs we&#x27;ve started to make based on the above source-code.  An &#x27;app-store&#x27; of compiled apps if you will:
<a href="https:&#x2F;&#x2F;serotiny.bio&#x2F;notes&#x2F;proteins&#x2F;" rel="nofollow">https:&#x2F;&#x2F;serotiny.bio&#x2F;notes&#x2F;proteins&#x2F;</a>