Comment Re:True in all fields (Score 1) 60
Hm, small world--I'm also in metabolomics (more on the computational end than the biological side of things, what I like to call computational metabolomics). I was going to write a post similar to your own, but more generalized for those who aren't familiar with the biology behind it.
The issue now is that well established informatics/statistical/computer science approaches are used as general tools in biology/astronomy/biochemistry, and there is a great need to formulate novel algorithms to take advantage of the particular idiosyncrasies of their respective data sets. Otherwise you end up losing a lot of valuable information. The word "interdisciplinary" is fairly abused in academia, but it really does apply in the case of these emerging computational/informatics approaches to classical fields of biology/astronomy/etc. We need people who are equally trained in both biology/astronomy/etc and computer science/informatics to really make the revolutionary leaps in their respective fields.