The Theoretical and Computational Biophysics Group is a pioneer in the realm of high-performance computing. To meet our computational needs, we maintain a wide selection of computers divided into four main categories: compute power, visualization equipmen
Adobe AIR app that lets you display items in your RSS feeds in a scrolling ticker on any edge of your screen. Not for the faint of heart or the information averse.
This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters from distance matrices * computing distance matrices from observation vectors * computing statistics on clusters *
Graph Visualization
Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. Automatic graph drawing has many important applications in software engineering, database and web design, networking, and in visual interfaces for many other domains.
Graphviz is open source graph visualization software. It has several main graph layout programs. See the gallery for some sample layouts. It also has web and interactive graphical interfaces, and auxiliary tools, libraries, and language bindings.
The goal of the nora project is to produce software for discovering, visualizing, and exploring significant patterns across large collections of full-text humanities resources in existing digital libraries.
Network Workbench: A Large-Scale Network Analysis, Modeling and Visualization Toolkit for Biomedical, Social Science and Physics Research.This project will design, evaluate, and operate a unique distributed, shared resources environment for large-scale ne
Exploratory visualization based on multiple coordinated views. Improvise has been used to explore election results, particle trajectories, network loads, music collections, the chemical elements, and even the dynamic coordination structure of its own vis
Processing is an open source programming language and environment for people who want to program images, animation, and interactions. It is used by students, artists, designers, researchers, and hobbyists for learning, prototyping, and production. It is c
BioImage Suite is an integrated image analysis software suite developed at Yale University. BioImage Suite has extensive capabilities for both neuro/cardiac and abdominal image analysis and state of the art visualization. Many packages are available that are highly extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. It can be intergrated with other biomedical image processing software, such as FSL and SPM. This site provides information, downloads, documentation, and other resources for users of the software.
Open source graph visualization software. Takes descriptions of graphs in a simple text language, makes diagrams formatted as images, SVG for web, PS for PDF, GXL (XML dialect), and more.
If you need visualization of either simple data sets or complex, time-dependent data from disparate sources, OpenDX lets you easily gain meaningful insight into your data. If you are looking to build visualization applications for your end users, OpenDX h
Professor Rosling from Karolinska Institutet lectures on YouTube about statistical databases, visualization, and our (mis)conceptions about the situation in various countries and continents.
MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the amazing Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under the conditions of the BSD license. It is also cross platform and should run on any platform where both Python and VTK are available (which is almost any *nix, Mac OSX or Windows).
I posted an updated tech demo of RhNav - Rhizome Navigation visualizing user behavior of this blog. The graph is now centered around the page where most time is spent. Noise created by search engine robots is filtered which should clear things up quite a
Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc