One of the challenges facing biological scientists is the need to develop and employ diverse data structures, as well as use analytic techniques that often require rather advanced mathematical and statistical methods and theory that span multiple disciplines. In biology there is a wide spectrum of computer languages available and used to pursue such requirements. Although Mathematica has the potential for much wider application as some of the demonstration project, training videos, and example code on the Wolfram website prove, it still remains one of the lesser used languages for this purpose.
How can Wolfram as a company find new ways to promote, organize, and expand the use of Mathematica and the emerging Wolfram/Alpha language to become more of a visible presence in the biological sciences community?
Saying bioinformatics has "standardized" on open source tools is a bit of a stretch, but there is no doubt that the tools you mention are very widely used. That said, bioinformatics is a very small fraction of the activity going on in the biological sciences.
In may ways this is a bit of a shame, as Mathematica's computational capabilities are exceed those that the other open source languages you mention can do, without tremendous programming effort. Indeed, its precisely why I pose the question, since it
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Mathematica Community Development (Score:2)
One of the challenges facing biological scientists is the need to develop and employ diverse data structures, as well as use analytic techniques that often require rather advanced mathematical and statistical methods and theory that span multiple disciplines. In biology there is a wide spectrum of computer languages available and used to pursue such requirements. Although Mathematica has the potential for much wider application as some of the demonstration project, training videos, and example code on the Wolfram website prove, it still remains one of the lesser used languages for this purpose.
How can Wolfram as a company find new ways to promote, organize, and expand the use of Mathematica and the emerging Wolfram/Alpha language to become more of a visible presence in the biological sciences community?
Re: (Score:2)
Re: (Score:2)
Saying bioinformatics has "standardized" on open source tools is a bit of a stretch, but there is no doubt that the tools you mention are very widely used. That said, bioinformatics is a very small fraction of the activity going on in the biological sciences.
In may ways this is a bit of a shame, as Mathematica's computational capabilities are exceed those that the other open source languages you mention can do, without tremendous programming effort. Indeed, its precisely why I pose the question, since it