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Re: perl's long term place in bioinformatics?

by educated_foo (Vicar)
on Jan 13, 2010 at 03:04 UTC ( #817096=note: print w/replies, xml ) Need Help??

in reply to perl's long term place in bioinformatics?

Yes, it's a fine choice for text munging and gluing programs together. And since many bioinformatics programs are distributed as command-line executables rather than libraries for some language, a good glue language is important. I suggest also learning R for statistics, and C to make your own algorithms run fast.
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Re^2: perl's long term place in bioinformatics?
by tritan (Sexton) on Jan 13, 2010 at 04:55 UTC
    Hi there! Do you have an opinion on C over C++, or the other way around? And why do you necessarily need to know one or the other? Is algorithm efficiency, speed wise, that important? I have to admit, I don't mind a job taking an extra day to run, since it gives me time to work on other stuff! But then again, I'm probably in a more laid back situation. I'm just research tech. Not even in graduate school yet, and I can only imagine where that attitude would get you as a professor ; ) But for now, it works
      I actually prefer C++, since I know it and it's as fast as C when you use it as C, and sometimes faster when you understand its compilation model. But the extension APIs for both R and Perl (and many other languages) are written in C, not C++, and C is a much simpler language.
        So does learning C, or C++, help you learn the other? And what would be the advantage of knowing the same language as what the extension APIs are in? My knowledge level is such that I just looked up what API is, though I've seen it plenty but just never really knew what it was.

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