I took a look at 2 or 3 of the problems in the "bioinformatics stronghold" section -- I picked those that seemed to have the lowest number of solutions assuming they would be the hardest problems -- and for those I tried the solutions were trivial. Usually simple one-liners.

I see little incentive to (re-)solving such simple problems; nor did I really learn that much about the terminology from doing them. In the end, I'm never going to be a bioinformatician -- no real access to real world data or problems -- so my becoming conversant in the terminology doesn't really benefit anyone.

My interest is solely the computational and algorithmic challenges that the field presents, and for that I just need the problems described in terms I understand; and access to the (real or example) datasets.

With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
"Science is about questioning the status quo. Questioning authority".
In the absence of evidence, opinion is indistinguishable from prejudice.

In reply to Re^4: genetic algorithm for motif finding by BrowserUk
in thread genetic algorithm for motif finding by shakehands

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