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

Graham T Johnson1, Samuel Hertig2

  • 11] California Institute for Quantitative Biosciences (QB3), University of California, San Francisco; and the Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158, USA. [2] Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California 94158, USA.

Summary

Scientists can improve communication of complex biological data by understanding audience needs and selecting appropriate visualization tools. This approach maximizes impact and minimizes production time for figures and presentations.

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