Research in Computer Science:
	A lot of stuff is tagged with "science" on the end
	Generally science is about building knowledge with as much certainty as possible
		Hypothesis testing is a big part of that
	Hypothesis for computer science often takes this form:
		"An artificial-intelligence system on a sufficiently-powerful computer can 
		defeat even the best human chess player"
	That leads to a simple test:  Try it and see what happens!
		Which is how hypothesis testing works in any field

Generally speaking, Computer Science itself is not coding
	It is to coding as chemistry is to filling beakers
	AI coding seems pretty marginal
		But it would actually help computer science a lot of it worked well
	Reminder from earlier:
		People often do this major so they can write software

On to bioinformatics:
	Two ways this can work:
		1.  Form and test a hypothesis related to computation
		2.  Assist biologists in testing a hypothesis related to biology
	There's a greater focus on the second
	Some journals focus on publishing articles introducing useful tools

I suppose it could include interfacing computer with life
	Neurons tend to react badly to repeated electrical stimulation

What can we help with?
	Genomic comparisons
	Brief primer on string comparison methods and pitfalls
	BLAST, and GenBank
		Classification of species:  Used to be by physical traits
	How BLAST works
	
Terminology note:
	Bioinformatics is most closely associated with analysis of DNA specifically
	I'll defer to Wikipedia here, but not everybody does
	We rebranded to "Computational Biology" anyway

We talked about mouse retina earlier
	How about human brain scans today?