threejs - makes WebGL - 3D in the browser - very easy

http://threejs.org/docs/index.html#Manual/Introduction/Creating_a_scene

Three.js is a library that makes WebGL - 3D in the browser - very easy. While a simple cube in raw WebGL would turn out hundreds of lines of Javascript and shader code, a Three.js equivalent is only a fraction of that.

Andre Kushniruk - human-computer interaction in health care

http://www.uvic.ca/hsd/hinf/people/faculty/andre/index.php

Dr. Kushniruk conducts research in a number of areas including evaluation of the effects of technology, human-computer interaction in health care and other domains as well as cognitive science. His work is known internationally and he has published widely in the area of health informatics. He focuses on developing new methods for the evaluation of information technology and studying human-computer interaction in health care and he has been a key researcher on a number of national and international collaborative projects. 

• Research interests

• Evaluation of the use and usability of information systems
• Design and evaluation methodologies
• e-Health and telemedicine
• Consumer informatics
• Cognitive aspects of decision support systems
• Data mining in health informatics
• Computerized patient record systems
• Intelligent information filtering
• Usability engineering
• Knowledge representation
• Design of health care user interfaces and human-computer interaction in complex domains

http://web.uvic.ca/calendar2013/GRAD/GPROGS/HISc/PrRe.html

Health Information Science, 2-year program

Javascript visualization libraries

http://www.elisa-dbi.co.uk/blog/38-tools-for-beautiful-data-visualisations/

Javascript Libraries

• Arbor.js - Node-link
• Cubism.js - Time series
• D3.js - Matrix, node-link, circular hierarchy, hive, icicle/partition, radial hierarchy, treemap, tree, hyperbolic tree, radial tree, Marimekko charts, parallel set, heat map, bubble chart, word cloud
• Dance.js - Interactive diagrams
• Envision.js - (HTML5 visualisations) Time series, fractals
• Flot – Interactive charts
• Highchart – Interactive charts
• Google Chart Tools  / Google Fusion Tables - Maps, pie chart, bar chart, radial chart, tree map, scatter plots, bubble charts, line chart, step chart, area chart, boxplot, trees, tree maps, node-link
• Infovis - Area chart, pie chart, bar chart, radial hierarchy, treemap, Marimekko chart, tree, node-link, radial chart, radial tree, hyperbolic tree
• Leaflet.js - Maps
• Modest Maps.js - Maps
• Processing.js  – Interactive diagrams
• Raphäel.js – Line chart, pie chart, time series; SVG generated charts.
• Rickshaw - Time series
• Sigma.js - Node-link

How to make a stickman movie

http://www.youtube.com/watch?v=USNImOiYAck

List of animation, visualization tools for Ubuntu
http://ubuntuforums.org/showthread.php?t=293798
Synfig
http://www.youtube.com/watch?v=WUxn9jqFJrg
http://www.youtube.com/watch?v=4OTZcY2Uj1k
http://www.youtube.com/watch?v=r-FSDouTUkk

Visual Data Mining of Biological Networks: One Size Does Not Fit All

http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002833

High-throughput technologies produce massive amounts of data. However, individual methods yield data specific to the technique used and biological setup. The integration of such diverse data is necessary for the qualitative analysis of information relevant to hypotheses or discoveries. It is often useful to integrate these datasets using pathways and protein interaction networks to get a broader view of the experiment. The resulting network needs to be able to focus on either the large-scale picture or on the more detailed small-scale subsets, depending on the research question and goals. In this tutorial, we illustrate a workflow useful to integrate, analyze, and visualize data from different sources, and highlight important features of tools to support such analyses.

IIPImage

http://iipimage.sourceforge.net/ 
 
IIPImage is an advanced high-performance feature-rich image server system for web-based streamed viewing and zooming of ultra high-resolution images. It is designed to be fast and bandwidth-efficient with low processor and memory requirements. The system can comfortably handle gigapixel size images as well as advanced image features such as both 8 and 16 bit depths, CIELAB colorimetric images and scientific imagery such as multispectral images.

GGobi - rggobi and ggobi

GGobi

GGobi is an open source visualization program for exploring high-dimensional data. It provides highly dynamic and interactive graphics such as tours, as well as familiar graphics such as the scatterplot, barchart and parallel coordinates plots. Plots are interactive and linked with brushing and identification.

http://www.ggobi.org/

> install.packages('rggobi')
> library('rggobi')
> g <- ggobi(mtcars)
> ggobi_display_save_picture(displays(g)[[1]], "test.png")

http://www.youtube.com/watch?v=OIkuQFQLMeo

yED - Graph Editor

http://www.yworks.com/en/products_yed_about.html

Workflow visualization tool.

Free online brainstorming diagraming tool

https://bubbl.us/

brainstorming and workflow made simple

BioLayout Express 3D

BioLayout Express 3D

Network visualizer in 3D

SVD in Python

$ sudo apt-get install python-scipy python-matplotlib

from scipy import *
from pylab import *

# load img
img = imread('myimg.png')[:,:,0]
gray()
figure(1)
imshow(img)

# get A = U * S * Vt singular value decomposition
m,n = img.shape
U,S,Vt = svd(img)
S = resize(S,[m,1])*eye(m,n)

# get first 20 eigenvectors
k = 20
figure(2)
imshow(dot(U[:,1:k], dot(S[1:k,1:k], Vt[1:k,:])))
show()

http://www.cs.ubc.ca/~nando/540b-2011/lectures/l2.pdf

Visual Understanding Environment

http://vue.tufts.edu/

The Visual Understanding Environment (VUE) is an Open Source project based at Tufts University. The VUE project is focused on creating flexible tools for managing and integrating digital resources in support of teaching, learning and research. VUE provides a flexible visual environment for structuring, presenting, and sharing digital information.

Like a mindmapper