BMC Bioinformatics
VOLUME 18 SUPPLEMENT 2
Proceedings of the Symposium on Biological Data Visualization at VIS 2016
Research
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
Baltimore, MD, USA
24/10/2016
Edited by Marc Streit, Daniel Weiskopf, Jan Aerts, G. Elisabeta Marai, and Alexander Lex.
- METHODOLOGY
Unboxing cluster heatmaps
Cluster heatmaps are commonly used in biology and related fields to reveal hierarchical clusters in data matrices. This visualization technique has high data density and reveal clusters better than unordered h...BMC Bioinformatics 2017 18(Suppl 2):63Published on: 15 February 2017 - RESEARCH
A taxonomy of visualization tasks for the analysis of biological pathway data
Understanding complicated networks of interactions and chemical components is essential to solving contemporary problems in modern biology, especially in domains such as cancer and systems research. In these d...BMC Bioinformatics 2017 18(Suppl 2):21Published on: 15 February 2017 - RESEARCH
Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation
We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology communit...BMC Bioinformatics 2017 18(Suppl 2):62Published on: 15 February 2017 - RESEARCH
Generalized box-plot for root growth ensembles
In the field of root biology there has been a remarkable progress in root phenotyping, which is the efficient acquisition and quantitative description of root morphology. What is currently missing are means to ef...BMC Bioinformatics 2017 18(Suppl 2):65Published on: 15 February 2017 - RESEARCH
Virtual reality assisted microscopy data visualization and colocalization analysis
Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional di...BMC Bioinformatics 2017 18(Suppl 2):64Published on: 15 February 2017 - RESEARCH
PRODIGEN: visualizing the probability landscape of stochastic gene regulatory networks in state and time space
Visualizing the complex probability landscape of stochastic gene regulatory networks can further biologists’ understanding of phenotypic behavior associated with specific genes.BMC Bioinformatics 2017 18(Suppl 2):24Published on: 15 February 2017 - RESEARCH
Interactive exploration of ligand transportation through protein tunnels
Protein structures and their interaction with ligands have been in the focus of biochemistry and structural biology research for decades. The transportation of ligand into the protein active site is often comp...BMC Bioinformatics 2017 18(Suppl 2):22Published on: 15 February 2017 - RESEARCH
Comparative visualization of protein secondary structures
Protein function is determined by many factors, namely by its constitution, spatial arrangement, and dynamic behavior. Studying these factors helps the biochemists and biologists to better understand the prote...BMC Bioinformatics 2017 18(Suppl 2):23Published on: 15 Feb
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