{bio,medical} informatics
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"George von Dassow and colleagues from the University of Washington, Seattle, have done a mathematical simulation of the network genetic interactions that defines segments in the bodies of animals. This model of a biological system, which they announce in Nature1, heralds a new fusion of biology with computing that has important predictive power.
"We must hope that [the human genome] can be dissected into a series of interlinked modules or networks, each of which can be studied in relative isolation," comment Peter K. Dearden and Michael E. Akam of the University of Cambridge, UK, in the same issue of Nature. "As our knowledge increases, diagrams of gene regulatory networks look increasingly like explosions in a spaghetti factory," they add."
Nature Segmentation in silico
"A new mathematical biology is emerging. Building on experimental data from developing organisms, it uses the power of computational methods to explore the properties of real gene networks."
"Our understanding of gene networks is at an early stage. We perceive their complexity only after it has been filtered by the limitations of the techniques used to study them. Genome databases and DNA-chip technology, which enables huge numbers of genes to be screened for activity, will undoubtedly provide more, and much more complicated, data than anything produced by Drosophila genetics. If a relatively simple gene network such as the segment-polarity system is hard to understand intuitively, we can be certain that modelling will be essential to make sense of the flood of new data.
But this will not be elegant theoretical modelling: rather, it will be rooted in the arbitrary complexity of evolved organisms. The task will require a breed of biologist–mathematician as familiar with handling differential equations as with the limitations of messy experimental data. There will be plenty of vacancies, and, on present showing, not many qualified applicants."
[ rhetoric ]
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
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