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TayViz – The bi-monthly meeting of the Tayside and Fife network for data visualisation

When: May 15th 2012, starting at 6:30pm

Where: School of Computer Science, University of St Andrews. Jack Cole building, room 1.33a, North Haugh, St Andrews (see instructions below on how to arrive)

What: There will be two short talks by Prof. Aaron Quigley, and Dr. Miguel Nacenta (both University of St Andrews), and plenty of time to discuss and socialize. If you are interested in presenting (5 to 10 minutes), let us know by writing to Miguel.nacenta@st-andrews.ac.uk

Talks:

Information Visualization Research in the SACHI group

Speaker: Aaron Quigley

Abstract:

Aaron will provide a quick overview of the incipient InfoViz research and prospects of the SACHI group.

A few examples of visualisation in computational systems biology of anti-inflammatory and anticancer drug actions

Speaker: Alexey Goltsov

Abstract:

Visualization is a key aspect in computational systems biology to analyse results of in silico modelling, generate and test hypothesises.  Some examples of visualisation in computational systems biology of cellular response to drug intervention are discussed. First, the developed method of the complex dynamics visualisation of enzyme kinetics is discussed and illustrated with the dynamic visualisation of cyclooxygenase enzyme function and its inhibition by anti-inflammatory drug, aspirin. Second, 3D dynamic visualisation of thrombosis in blood vessel is demonstrated based on the developed agent-based model of blood clotting and anticoagulation drug effect. Third, visualisation in computational systems biology of cancer are discussed and illustrated with the visualisation methods of the determination of promising drug targets and analysis of changing sensitivity of tumor to anticancer therapy at different oncogenic mutations.

FatFonts: Combining the Symbolic and Visual Aspects of Numbers

Speaker: Miguel Nacenta

Abstract:

In this talk I present a new technique for visualisation that makes use of typography. FatFonts is a technique for visualizing quantitative data that bridges the gap betweennumeric and visual representations. FatFonts are based onArabic numerals but, unlike regular numeric typefaces, theamount of ink (dark pixels) used for each digit is propor-tional to its quantitative value. This enables accurate read-ing of the numerical data while preserving an overall visual context. During the talk, I discuss the challenges of this approach, it’s possible uses, and how to use it in visualizations.

Bio:

Miguel Nacenta is a Lecturer in the School of Computer Science. He is interested in new interaction form factors (e.g., tabletops, multi-touch, multi-display environments), perception, and information visualisation.

Directions (see also the School’s Directions):

By bus. From St Andrews bus station is a short 10min downhill walk to the Jack Cole building (see attached image)

By train. Stop at Leuchars and then take a 20 min ride (99 – line) to the St Andrews bus station. Then follow the signs above.