International Symposium

Bioinformatics Visualization

CGiV-BioViz

Visualization is an important, and often necessary, part of Bioinformatics. Sequence alignment, gene expression data, NMR spectra, protein networks, for example, all rely heavily on interpreting the data visually--both for discovery and validation. Bioinformatics data are typically complex, and data sizes routinely run into the gigabyte and terabyte ranges. Thus, even traditionally tractable polynomial running times for algorithms are not practicable. Visualization in these cases is used to select subsets of data that can be more readily processed and analyzed. Bioinformatics tools are used by a wide array of scientists most of whom are not typically computer scientists. Therefore, interacting with not only the visualization components, but also using the tools on the whole must be made efficient and reasonably intuitive.Human Computer Interaction (HCI), the study of how to improve this digital/human interface is becoming a very important aspect of bioinformatics as well

Visualization in bioinformatics offers many significant challenges, and success is likely to come from a joining of many disparate disciplines and areas including computer graphics, high performance computing, cognitive science, HCI, computer science, data mining, molecular biology.

We invite papers on these important challenges in visualization in Bioinformatics. Papers will be refereed, appear in the conference proceedings, and be published by Conference Publishing Services (CPS <http://www.computer.org/portal/web/cscps/home>: There is a tentative plan to select 5-7 high-quality papers that will be recommended for publication in a special visualization issue of well-known bioinformatics journal. TOPICS OF INTEREST:

Systems biology tools

Visualization of curation and annotation of genome data

Genome comparison visualization

Combining visual and computational methods of genome data exploration

High performance computing

Optimizations of existing visualizations e.g., dot plots

Visual querying of genome data

Collaborative visualization and mining for bioinformatics

Evaluation of visual data mining methods

Extensions of existing open tools e.g., cytoscape

HCI including case studies of bioinformatics visualization approaches

Cognitive approaches and explanations for visual data mining for bioinformatics

Surveys of existing tools

 

www.graphicslink.co.uk/cgiv2019/BioViz.htm

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Conference Co-ordinator