RT Journal Article SR Electronic T1 Biographika: rich interactive data visualizations on the web for the research community JF bioRxiv FD Cold Spring Harbor Laboratory SP 021063 DO 10.1101/021063 A1 Pablo Pareja-Tobes A1 Eduardo Pareja-Tobes A1 Marina Manrique A1 Eduardo Pareja A1 Raquel Tobes YR 2015 UL http://biorxiv.org/content/early/2015/06/17/021063.abstract AB When visualizing scientific data one of the current bottlenecks is the lack of interactivity. There already exist many options to build static data visualizations such as R, Matlab or Microsoft Excel among others. On the other hand, we can also find many different pieces of software with a broader or more specific aim that however must be installed locally. There is therefore a gap that is not covered by any of these latter two worlds. Here is where Biographika comes in handy since it provides scientists in general, and more specifically bioinformaticians, with a way of being able to use interactive rich visualizations on the web as part of their daily research. This first version of Biographika includes a set of charts combining diverse approaches that are thought to give users different perspectives of their research data. For the sake of interoperability and expressivity among other reasons we are using D3.js [1], the de facto standard visualization JavaScript library for manipulating documents based on data. But not only that, we incorporate new approaches as the fact of having fully interactive 3D charts that can be easily integrated with the rest of visualizations; providing the possibility of analyzing multidimensional data in a way that could otherwise be difficult to tackle. For that we use X3DOM[2], an open-source framework and runtime for 3D graphics on the Web that eases the integration of HTML5 and declarative 3D content. And last but not least, Biographika is also conceived as an effort to provide the data visualization layer for Bio4j [3] that researchers have been lacking in the past few years.