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原贴由davay发表于 2009-11-29 01:52
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本帖最后由 davay 于 2009-11-29 01:54 编辑
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. ]7 ?$ }0 Y$ t+ Z; {http://jvi.asm.org/cgi/reprint/JVI.00151-09v1
, O) p0 k, [$ i9 v这篇文章是病毒学专业最顶级杂志Journal of Virology的主编写的一篇review.里面回顾拉,病毒学的发展，和展望.我觉得有用的是,说到下一代病毒学家,或者说病毒学工作者需要具备的素质.$ O( T) y- D( ~7 N9 Y
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TRAINING VIROLOGISTS FOR THE FUTURE
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How can virologists take advantage of all of these new opportunities for scholarship
5 b5 B; f, p$ G- ]% uand application? To address this question, we must consider what constitutes optimum7 D1 b' Q" ]& }6 @! k9 g( A9 }
training for virologists in the 21st century. Tomorrow’s advances will require a combination& L: ?3 G, T" C _' v: Q% I
of small, tightly focused groups and large, multidisciplinary teams. Traditional teams of basic% A4 j' u! L& i
scientists working with clinicians will be augmented by mathematicians, physicists, and
& `, w9 v z. N8 Tpopulation biologists, among others. Integrating new technology advances with classical3 ]! W- M2 ~2 X- b
epidemiology and clinical approaches will not be a simple pedagogical exercise. Training the" r! _7 ]" @* ^" p- x/ h# s. G
next generation of scientists who can undertake this research will require more diverse course" }) x3 h4 e" [+ j/ b+ R9 N5 `
offerings, enhanced training opportunities, especially involving interdisciplinary) L' ?2 i& g3 r, p; `( Q
collaboration and computational approaches, and instruction in teamwork. To facilitate) @5 h8 O8 s4 |
professional advancement, we will need to develop new strategies to recognize and reward
1 y' T* f6 Z" c7 F5 m# N, T+ Hindividual contributions to group scientific efforts as team science becomes more and more
8 `' }8 f$ T/ j9 A7 r8 u- p- vprevalent.0 Q. O) w% j6 O# ]( t8 ?1 v, w, r# m
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Systems biology approaches, large-scale genetic screens, metagenomics of host and1 |* |- A7 H( N" e* {' {2 A9 k
viral genes from related viruses present a unique challenge for training. These approaches
7 D1 |6 k) ^& |6 D5 ?$ ~* \will produce enormous amounts of information that will challenge our capacity to integrate it
0 \ W& C+ H- \into useful conceptual frameworks. Imaging technology will reveal the dynamics of
8 T! T7 q; v; M. E* W& B5 k8 g2 Hbiological interactions at every level, yet produce huge sets of data that strain current systems5 ~! ~3 f2 i2 _* d, Y$ F0 O
for information storage and retrieval. Methods to search, screen, recover, and use this
# w' J& K; `9 q3 Y2 W" Dinformation will provide new avenues for discovery and require a new generation of
. P8 ~# I3 o! zvirologists with special expertise in computational methods and information technology. |
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