visual guide to Circos A visual guide to Circos (Circos - an information aesthetic for comparative genomics) presents some of the capabilities of Circos and illustrates its application in the field of comparative genomics and genome visualization.
Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. However, to convey a message to your readers effectively, sometimes you need more than just a simple pie chart of your results. In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years.
Protocol Buffers allow you to define simple data structures in a special definition language, then compile them to produce classes to represent those structures in the language of your choice. These classes come complete with heavily-optimized code to par
The Cyberinfrastructure Shell (CIShell) is an open source, community-driven platform for the integration and utilization of datasets, algorithms, tools, and computing resources. Algorithm integration support is built in for Java and most other programming
Pivot is our most ambitious project at Live Labs to date. It is an application designed to view and interact with massive amounts of data in ways that are powerful, informative, and fun.
The Google Public Data Explorer makes large datasets easy to explore, visualize and communicate. As the charts and maps animate over time, the changes in the world become easier to understand. You don't have to be a data expert to navigate between different views, make your own comparisons, and share your findings.
T. Genewein, T. McGrath, G. Déletang, V. Mikulik, M. Martic, S. Legg, and P. Ortega. (2020)cite arxiv:2010.12237Comment: 11 pages, 8 figures, 5 algorithms. A companion Colaboratory tutorial is available at https://github.com/deepmind/deepmind-research/causal-reasoning.