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Re^2: RFC: A call to bioinformationalists for some generic information.by BrowserUk (Patriarch) |
on May 29, 2015 at 04:19 UTC ( [id://1128223]=note: print w/replies, xml ) | Need Help?? |
What I'm getting from the similarities between: your response to my request; and a response I got to a request for information I emailed directly to the guys at the NCBI; is that the real problem is not finding match sites; but rather that of filtering the mass of match sites found to eliminate non-useful ones. And that is a process I do not understand the criteria for; and have no insights to offer. Indeed, I'm approaching the conclusion that because my search algorithm would find *all* potential match sites; it might actually compound the filtering problem rather than help it. So it looks like I may have a solution looking for a problem to solve on my hands. Though I can't help but think that the potential for the "best" match site (however that might be assessed) being missed, because of the minimum index size (word-length), means that a lot of searches and pre- & post-filtering are being wasted. I was hoping to have some basic performance numbers to post in this reply, but looking at my results a couple of hours ago I see an anomaly in the numbers coming out that I wasn't expecting, which could mean: a) my expectations were off; b) I've a bug in my code; c) the algorithm doesn't work. I need to determine which of those is the case before I go posting "exciting numbers" that might be completely bogus. Thank you for your reply. You've given me much to think about. If I get (back) to the point where I think I am ready to do comparisons, I'll /msg you. With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
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"Science is about questioning the status quo. Questioning authority".
I'm with torvalds on this
In the absence of evidence, opinion is indistinguishable from prejudice. Agile (and TDD) debunked
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