Essay - A guide to the visual analysis and communication of biomolecular structural data

被引:39
|
作者
Johnson, Graham T. [1 ,2 ,3 ]
Hertig, Samuel [1 ,2 ]
机构
[1] Univ Calif San Francisco, Calif Inst Quantitat Biosci Q83, San Francisco, CA 94107 USA
[2] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94158 USA
[3] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94158 USA
基金
瑞士国家科学基金会;
关键词
IMAGE DATA; VISUALIZATION; PROTEINS; !text type='PYTHON']PYTHON[!/text; SYSTEM;
D O I
10.1038/nrm3874
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Biologists regularly face an increasingly difficult task - to effectively communicate bigger and more complex structural data using an ever-expanding suite of visualization tools. Whether presenting results to peers or educating an outreach audience, a scientist can achieve maximal impact with minimal production time by systematically identifying an audience's needs, planning solutions from a variety of visual communication techniques and then applying the most appropriate software tools. A guide to available resources that range from software tools to professional illustrators can help researchers to generate better figures and presentations tailored to any audience's needs, and enable artistically inclined scientists to create captivating outreach imagery.
引用
收藏
页码:690 / 698
页数:9
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