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原贴由davay发表于 2009-11-29 01:52+ R7 E1 h" x- k' [( u. d
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本帖最后由 davay 于 2009-11-29 01:54 编辑+ C; I; V2 U4 T) N: \# B5 F: K
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, x; U$ h# x( U: I! Ihttp://jvi.asm.org/cgi/reprint/JVI.00151-09v1
) f' {) D6 ^3 f8 N1 s/ W0 F X" l3 g. k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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TRAINING VIROLOGISTS FOR THE FUTURE/ _- h; _/ I7 k
1 M5 p2 n! `; y& I/ NHow can virologists take advantage of all of these new opportunities for scholarship
) n) c( B6 u% i/ F/ r4 |and application? To address this question, we must consider what constitutes optimum6 W# i( \/ S3 W# _1 _5 c: U
training for virologists in the 21st century. Tomorrow’s advances will require a combination
; o1 g8 {) u5 G; X2 Nof small, tightly focused groups and large, multidisciplinary teams. Traditional teams of basic$ s* Y3 P" c1 u: ^: C7 _
scientists working with clinicians will be augmented by mathematicians, physicists, and
& X# v4 g/ e, H; Qpopulation biologists, among others. Integrating new technology advances with classical. U: D4 G# L' s6 A- w) ?
epidemiology and clinical approaches will not be a simple pedagogical exercise. Training the t9 N1 b9 ?9 _. v
next generation of scientists who can undertake this research will require more diverse course r& T& @/ P3 Q7 z" X! x' u/ o. }
offerings, enhanced training opportunities, especially involving interdisciplinary5 {; g7 p! ~$ N# `1 C2 b d
collaboration and computational approaches, and instruction in teamwork. To facilitate/ L/ C4 f8 q7 j! R
professional advancement, we will need to develop new strategies to recognize and reward+ P9 P1 k8 X4 h& \
individual contributions to group scientific efforts as team science becomes more and more
' |9 G8 E h5 T" U1 p. zprevalent.
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Systems biology approaches, large-scale genetic screens, metagenomics of host and9 A2 p1 ?) `# ?
viral genes from related viruses present a unique challenge for training. These approaches( U; n ~3 o) [! B }4 l- t# r4 m
will produce enormous amounts of information that will challenge our capacity to integrate it
" x! X4 \; r/ U4 H! M( X0 ainto useful conceptual frameworks. Imaging technology will reveal the dynamics of
! [* v- G, @% z; H1 z/ _biological interactions at every level, yet produce huge sets of data that strain current systems
$ w. v: k% m& O. xfor information storage and retrieval. Methods to search, screen, recover, and use this
m* f0 F9 V+ d* [0 f% ^" iinformation will provide new avenues for discovery and require a new generation of
* D9 ?5 N: o1 }; t1 [ yvirologists with special expertise in computational methods and information technology. |
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