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International Symposium Bioinformatics
Visualization CGiV-BioViz |
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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 |
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www.graphicslink.co.uk/cgiv2019/BioViz.htm |
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All
enquiries should be addressed to Conference Co-ordinator |
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Symposium organizers and chairs: |
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