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原贴由davay发表于 2009-11-29 01:52
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3 T; F* ^3 j8 ^# s本帖最后由 davay 于 2009-11-29 01:54 编辑! I, }3 T9 c P3 |' y8 _0 I" Q
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n* M; z$ {# _' P3 b; Rhttp://jvi.asm.org/cgi/reprint/JVI.00151-09v1' ~( j+ a6 z5 j; b4 F
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.
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0 [$ s( e6 L" l, FTRAINING VIROLOGISTS FOR THE FUTURE
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How can virologists take advantage of all of these new opportunities for scholarship/ b5 D/ }6 x$ I ?0 _6 S6 D, I. L
and application? To address this question, we must consider what constitutes optimum: s, m- A! O- i
training for virologists in the 21st century. Tomorrow’s advances will require a combination
2 t3 r5 m9 v, x$ mof small, tightly focused groups and large, multidisciplinary teams. Traditional teams of basic
9 m' [0 e+ \6 o" ^& i5 hscientists working with clinicians will be augmented by mathematicians, physicists, and
2 _) c; S1 e+ O$ K3 z6 \5 Wpopulation biologists, among others. Integrating new technology advances with classical8 H; Q2 u/ A1 o' n; I( N
epidemiology and clinical approaches will not be a simple pedagogical exercise. Training the4 ]' _$ j, Y, u" r: b
next generation of scientists who can undertake this research will require more diverse course
. j) |2 s* ]+ F; N% Fofferings, enhanced training opportunities, especially involving interdisciplinary
) b( t2 `# G0 S; scollaboration and computational approaches, and instruction in teamwork. To facilitate$ J0 G: {" \5 d
professional advancement, we will need to develop new strategies to recognize and reward
# c- R4 t' @; f y' Vindividual contributions to group scientific efforts as team science becomes more and more1 Q a. g ?8 l! K, X
prevalent.
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Systems biology approaches, large-scale genetic screens, metagenomics of host and! \- z6 [( }, ?% M* ^
viral genes from related viruses present a unique challenge for training. These approaches
^2 `3 ?8 w/ Q! m% Uwill produce enormous amounts of information that will challenge our capacity to integrate it9 |$ E$ a% `+ R1 R: \8 P( y$ Q8 q
into useful conceptual frameworks. Imaging technology will reveal the dynamics of
5 K* N, n+ V0 e0 Z7 d! r! q7 \& xbiological interactions at every level, yet produce huge sets of data that strain current systems
! x: S6 v2 j4 T; q7 U6 M; A+ P! Kfor information storage and retrieval. Methods to search, screen, recover, and use this
4 i, V2 s. n: f+ @$ zinformation will provide new avenues for discovery and require a new generation of
8 `! o( m; Z0 ^. d0 kvirologists with special expertise in computational methods and information technology. |
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