[BioEdu] Lanuages and environments

[Paulo Nuin]

Hi

One "disadvantage"that I see in MatLab is that you need a proprietary 
environment to run your programs, if they are converted to C with their 
converter. Other than that is a very powerful environment and comes with 
everything you need.

R is really nice, but I had never coded in it, but the packages 
available are also very powerful.

Cheers

Paulo

Piyush Mundra wrote:
>  I guess choice of language  also depends on the kind of work one is 
> targeting. I mean, if one is looking for  biological data analysis, 
> machine learning algorithm applications and other related stuffs, 
> MATLAB or R should be sufficient.
>
> Also, 'R' has a very good library of bioinformatics data analysis....
>
> I would appreciate expert views on this...:)
>
> Regards,
> Piyush
> PhD Student
>
> On 2/15/07, *Deanne Taylor* <theoriste at gmail.com 
> <mailto:theoriste at gmail.com>> wrote:
>
>     I'm a Python and C++ person, myself. Python for CGI works OK,
>     though slower than Perl on some executables.
>
>     I know some groups at the Broad Institute who are working a lot
>     with Jython as well.
>
>     As an aside, on the comment about "loose" programming languages in
>     bioinformatics -- I met a guy at Proctor & Gamble who was doing
>     bioinformatics with FORTRAN. :)
>
>     Deanne
>
>
>
>
>     On 2/14/07, *Paulo Nuin* < nuin at genedrift.org
>     <mailto:nuin at genedrift.org>> wrote:
>
>         Hi Dana
>
>         Yes, Linux is a must.
>
>         Cheers
>
>         Paulo
>
>         danaf at drfconsulting.com <mailto:danaf at drfconsulting.com> wrote:
>         > I appreciate everyone's input.
>         >
>         > I see the consensus in languages,
>         > though not in any order, is
>         >
>         > Perl, Python, Java, C/C++
>         >
>         > and it seems I need to become
>         > competent in Linux/Unix.
>         >
>         > Thanks,
>         > Dana
>         >
>         > -----Original Message-----
>         > From:
>         bioedu-bounces+danaf=drfconsulting.com at bioinformatics.org
>         <mailto:drfconsulting.com at bioinformatics.org>
>         > [mailto:
>         bioedu-bounces+danaf=drfconsulting.com at bioinformatics.org
>         <mailto:bioedu-bounces+danaf=drfconsulting.com at bioinformatics.org>]On
>         > Behalf Of J.W. Bizzaro
>         > Sent: Wednesday, February 14, 2007 3:04 PM
>         > To: Education in Bioinformatics
>         > Subject: Re: [BioEdu] Lanuages and environments
>         >
>         >
>         > Here's a poll on the languages that practitioners are
>         interested in
>         > learning:
>         >
>         >   http://bioinformatics.org/poll/index.php?dispid=16&vo=16
>         <http://bioinformatics.org/poll/index.php?dispid=16&vo=16>
>         >   (#1 Python, #2 Perl, #3 Java, #4 C/C++, ...)
>         >
>         > It's not a poll on which languages are actually *used*, but
>         there should be
>         > (if not now, then someday) a good correlation.
>         >
>         > Jeff
>         >
>         > Kevin Karplus wrote:
>         >
>         >> I believe that the most common programming languages in
>         bioinformatics
>         >> are perl, c, c++, java, and python, more or less in that order.
>         >>
>         >>
>         >
>         > --
>         > J.W. Bizzaro
>         > Bioinformatics Organization, Inc. (Bioinformatics.Org)
>         > E-mail: jeff at bioinformatics.org <mailto:jeff at bioinformatics.org>
>         > Phone:  +1 508 890 8600
>         > --
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>
>
>
>     -- 
>     Deanne Taylor PhD
>     theoriste at gmail.com <mailto:theoriste at gmail.com>
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