Volume 14 Supplement 19

Highlights from the 2nd IEEE Symposium on Biological Data Visualization


Edited by Miriah Meyer and Jan Aerts

The conference and the publication charges for this supplement have been sponsored by the IEEE. The articles in this supplement have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

2nd IEEE Symposium on Biological Data Visualization. Go to conference site.

Seattle, WA, USA

14-15 October 2012

  1. Research

    MaTSE: the gene expression time-series explorer

    High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatment, and prevention of diseases. There are howev...

    Paul Craig, Alan Cannon, Robert Kukla and Jessie Kennedy

    BMC Bioinformatics 2013 14(Suppl 19):S1

    Published on: 12 November 2013

  2. Research

    iVUN: interactive Visualization of Uncertain biochemical reaction Networks

    Mathematical models are nowadays widely used to describe biochemical reaction networks. One of the main reasons for this is that models facilitate the integration of a multitude of different data and data type...

    Corinna Vehlow, Jan Hasenauer, Andrei Kramer, Andreas Raue, Sabine Hug, Jens Timmer, Nicole Radde, Fabian J Theis and Daniel Weiskopf

    BMC Bioinformatics 2013 14(Suppl 19):S2

    Published on: 12 November 2013

  3. Research

    enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets

    Jointly analyzing biological pathway maps and experimental data is critical for understanding how biological processes work in different conditions and why different samples exhibit certain characteristics. Th...

    Christian Partl, Alexander Lex, Marc Streit, Denis Kalkofen, Karl Kashofer and Dieter Schmalstieg

    BMC Bioinformatics 2013 14(Suppl 19):S3

    Published on: 12 November 2013

  4. Research

    Visual cavity analysis in molecular simulations

    Molecular surfaces provide a useful mean for analyzing interactions between biomolecules; such as identification and characterization of ligand binding sites to a host macromolecule. We present a novel techniq...

    Julius Parulek, Cagatay Turkay, Nathalie Reuter and Ivan Viola

    BMC Bioinformatics 2013 14(Suppl 19):S4

    Published on: 12 November 2013

  5. Research

    Exploring cavity dynamics in biomolecular systems

    The internal cavities of proteins are dynamic structures and their dynamics may be associated with conformational changes which are required for the functioning of the protein. In order to study the dynamics o...

    Norbert Lindow, Daniel Baum, Ana-Nicoleta Bondar and Hans-Christian Hege

    BMC Bioinformatics 2013 14(Suppl 19):S5

    Published on: 12 November 2013

  6. Research

    The looks of an odour - Visualising neural odour response patterns in real time

    Calcium imaging in insects reveals the neural response to odours, both at the receptor level on the antenna and in the antennal lobe, the first stage of olfactory information processing in the brain. Changes o...

    Martin Strauch, Clemens Müthing, Marc P Broeg, Paul Szyszka, Daniel Münch, Thomas Laudes, Oliver Deussen, Cosmas Giovanni Galizia and Dorit Merhof

    BMC Bioinformatics 2013 14(Suppl 19):S6

    Published on: 12 November 2013