{bio,medical} informatics
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The Scientist
Wanted: Applicants for NIGMS Grants[requires 'free' registration]
"What if biologists gave grant awards to mathematicians and computer wizards to study complex human systems--and no one showed up? The National Institute of General Medical Sciences (NIGMS) is tackling this exact problem. For the last three years, the institute has created new grant initiatives to support a widening area of interest involving medical science and biocomplexity--specifically, the interactions, couplings, modeling, and computational analysis of multifaceted cell and organ systems.
Unlike its robust environmental counterpart, the National Science Foundation, NIGMS has had some trouble finding mathematical and engineering talent."
redux [07.13.00]
"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."
redux [04.05.00]
[requires 'free' registration]
"I suspect that although the new enthusiasm for computers in biology is genuine, it overlooks some basic problems in implementation. The basic difficulty, as I see it, is that although biologists use computers, they do not trust everything that comes out of them. It is one thing to use them to print up nice-looking graphs, but it is an entirely different matter to use them to think better."
"Francis Crick was once quoted as saying that no biologist had ever made a discovery using a mathematical model. I would reply that no biologist has ever made a discovery by running an electrophoretic gel. They make discoveries by using their brains. Computers, like all scientific tools, are only as good as the person who uses them. If biologists don't understand how computer models are constructed, they won't know their strengths and limitations. Without some foundation of trust, biologists will be unlikely to utilize or accept this powerful method of data analysis."
[ 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.”
BIOINFORMATICS IN THE 21st CENTURY[ search ]
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biospace
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genomeweb
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bio-it world
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scitechdaily
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biomedcentral
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the panda's thumb
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nodalpoint
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flags and lollipops
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on genetics
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a bioinformatics blog
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andrew dalke
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the struggling grad student
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in the pipeline
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gene expression
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free association
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pharyngula
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the personal genome
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genetics and public health blog
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the medical informatics weblog
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linuxmednews
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nanodot
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complexity digest
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eyeforpharma
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nsu
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nyt science
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newshub
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biology news net
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informatics review
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bmj info in practice
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