Computational Gene Finding

Thought I’d open this one up before I head out to dinner.  I’ll create the main body of this post later this PM.

Ok, a day late and a dollar short.  Lol.  That should teach a few folks not to pile on so much debt ha?  (Invest your dollars in productive enterprises and you are wise; invest your dollars in pleasure and prove yourself foolish.)

I have been warned by my own ‘powers-that-be’ not to go too deeply into biotech research, but I will cite a few things that I think will prove to be a great aid (or hindrance) to man’s future.  The first is somewhat odd, but grew out of our computational gene finding efforts solely because we had hired a group of researchers who were capable of going further.  This topic, to which I obliquely elude is Higher Order Mechanics of mRNA Translation.  I have capitalized this in order to give title to a new area of research, that I do not believe it occurring anywhere outside our organization. 

As some of you will know, proteins are constructed in biological organisms through the molecular mechanics (molecular biology) of mRNA translation.  A triplet of nucleotides (a codon) is read by transfer RNA that encodes the appropriate amino acid into the protein chain or polymer.  Our work is engineering new transfer RNAs and engineering new sequences of underlying genetic code, i.e., mRNA sequences.

The above I am certain sounds very weird, unorthodox, or just simply false technically to the schooled molecular geneticist or molecular biologist.  My view is that anything beyond the rigid ‘mindset’ of research and academia (that is so often comprised of liberal elitists) is fair game for my researchers and those of ill will can perhaps for the first time in their lives pay for their own research efforts because I’m paying for this work, not them.

Ok, on to computation gene finding in its’ pure form.

Think of computational gene finding in this way:  one has a large database that has linkage between known disease or behavioral processes implicitly related to an individuals underlying genetic blueprint.  The effort of computational gene finding is to identify genes or combination of genes and intergenic regions by presence or absence in order to relate to known behaviors.  Think further of criminal histories of inmates in the U.S. prison population — or even China folks — and all that DNA material lying around to be sequenced that is collected by the U.S. court system.

Is this horror or blessing?  You tell me.

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