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原贴由davay发表于 2009-11-29 01:52% j" V* ~) c9 o
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L N: H0 |3 G- ^1 E本帖最后由 davay 于 2009-11-29 01:54 编辑8 t& Y! m. Q: f( f( G
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http://jvi.asm.org/cgi/reprint/JVI.00151-09v1
N5 y& l7 R, Y) Q4 |' P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.3 S P1 l p' e/ ~
- p! g2 c3 r+ }6 n ?TRAINING VIROLOGISTS FOR THE FUTURE
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How can virologists take advantage of all of these new opportunities for scholarship8 o5 v4 B9 q0 X/ S8 y" N1 Y
and application? To address this question, we must consider what constitutes optimum
8 ?8 @* Q) Z0 ^: U. ~training for virologists in the 21st century. Tomorrow’s advances will require a combination
1 B; i3 B* a* Y9 T5 v6 i6 k. xof small, tightly focused groups and large, multidisciplinary teams. Traditional teams of basic7 D- K4 G( w4 G; u+ m/ x! ~
scientists working with clinicians will be augmented by mathematicians, physicists, and b4 H: j' E6 B2 f: p1 r
population biologists, among others. Integrating new technology advances with classical% r- t: A% U3 L
epidemiology and clinical approaches will not be a simple pedagogical exercise. Training the
% X _# N2 `/ J, X6 _next generation of scientists who can undertake this research will require more diverse course! g& f, S& ~5 M; e
offerings, enhanced training opportunities, especially involving interdisciplinary
1 R9 b2 S. J1 g7 U( F' p* C) ]collaboration and computational approaches, and instruction in teamwork. To facilitate
# s0 m/ `7 g. M! sprofessional advancement, we will need to develop new strategies to recognize and reward
9 f0 \4 Q2 T# qindividual contributions to group scientific efforts as team science becomes more and more* D ]0 J* ` N
prevalent., w* a$ ~1 w/ Q$ m
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Systems biology approaches, large-scale genetic screens, metagenomics of host and% l) T. G' V! Z3 }
viral genes from related viruses present a unique challenge for training. These approaches5 b" @- O# s* u' ]
will produce enormous amounts of information that will challenge our capacity to integrate it+ {+ {- t2 a7 j# M3 }
into useful conceptual frameworks. Imaging technology will reveal the dynamics of7 q4 `9 C/ r' y
biological interactions at every level, yet produce huge sets of data that strain current systems
6 T$ G+ w S: Q& t" ?for information storage and retrieval. Methods to search, screen, recover, and use this* ?2 _$ t& P3 ]' V& ~& w* P
information will provide new avenues for discovery and require a new generation of
6 g( D% Y( k& n' avirologists with special expertise in computational methods and information technology. |
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