These days, it's easy to take visualizations of biological molecules for granted, what with the easy availability of an ever-increasing supply of high-resolution X-ray and neutron crystallography data, as well as freely available software that render them into beautiful and useful images that help us understand how life works. The lack of computers and computer networks in the mid-1950s made creating these illustrations a painstaking collaboration, requiring an artist's craftsmanship and aesthetic sense, as well as, most importantly, the critical ability to visualize the concepts that scientists wish to communicate. One such scientific artist was Irving Geis, who painted the first biological macromolecule obtained through X-ray data: an iconic watercolor representation of the structure of sperm whale myoglobin, as seen in the third slide of this slideshow of selected pieces. His first effort was a revolutionary work of informatics, including coloring and shading effects that emphasized important structural and functional features of the myoglobin protein, simultaneously moving the less-important aspects into the background, all while stressing simplicity and beauty throughout. The techniques that Geis developed in this and subsequent works influenced the standards for basic 2D protein visualization that are used today.
The rise and fall of personal computing - A neat (and in some ways, stark) visualization of the impact of mobile devices on computing
A hive plot (slides) is a beautiful and compelling way to visualize multiple, complex networks, without resorting to "hairball" graphs that are often difficult to qualitatively compare and contrast. [more inside]
OpenCPU provides a RESTful interface to the popular open-source statistical package R, enabling the user to perform calculations and create publication-quality or web-embeddable visualizations via standard web requests.
“If you display information the right way, anybody can be an analyst,” Tufte once told me. “Anybody can be an investigator.” - The Washington Monthly interviews informaticist Edward Tufte [via]