title: A guide to the visual analysis and communication of biomolecular structural data.
abstract: 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.
authors.affiliation: 1] 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.
authors.forename: Graham T
authors.initials: GT
authors.lastname: Johnson
authors.affiliation: 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.
authors.forename: Samuel
authors.initials: S
authors.lastname: Hertig
mesh_terms: D030562:Databases, Protein; D033181:Information Dissemination; D008958:Models, Molecular; D015394:Molecular Structure; D011487:Protein Conformation; D011643:Publishing