[Infovis] CFP: IEEE CG&A Special Issue on Breakthroughs, Challenges, and Opportunities in Biological Data Visualization

[Jillian Aurisano]

IEEE CG&A seeks submissions for its upcoming Sept 2025 special issue on
Breakthroughs, Challenges, and Opportunities in Biological Data
Visualization,
with a submission deadline of Feb 21st, 2025.

https://www.computer.org/digital-library/magazines/cg/cfp-biological-data-visualization

The rapidly expanding data generated by advanced methods in biology is
creating enormous challenges at the interface between humans
and biological data that can be represented and analyzed visually. To meet
these challenges, a blend of methodology from the visualization,
 bioinformatics and biology domains is required. This methodology
encompasses perception and design knowledge, algorithm design, techniques
for analyzing and visualizing big data,  statistics, and specific domain
knowledge for different application problems. Powerful and
integrative visualization methods are necessary, as well as methods for
visually communicating the outcome of computational analytical methods and
findings.

This special issue aims to highlight
new challenges in biological data visualization (BioVis), and
state-of-the-art solutions created by the vibrant BioVis community. We
invite contributions on all aspects of data visualization in biology, from
molecular to cell, tissue, organism and population biology. Topics of
interest include, but are not limited to:

* Genome and sequence data visualization, including genomic variation data,
3D and 4D genome visualization, and chromosome interaction maps
* Multivariate omics data visualization (transcriptomics, proteomics,
metabolomics, etc.)
* Phylogenetic data visualization, as well as biological networks and
pathways
* Neurobiology and developmental biology visualization, biological atlases
and metadata
* Macromolecular structures (e.g., protein or RNA structures) visualization
* Biological image data, such as microscopy data visualization
* Visualization for the modeling and simulation of biological systems
* Biovis systems and software frameworks, and integrating visualization and
machine learning for biological analysis
* Biological workflows or collaborative processes, processes for
interdisciplinary collaboration between biology and visualization, and
usability of visualization by biologists, including communicating
uncertainty
* New challenges, breakthroughs,
and opportunities in biological data visualization
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Submission Guidelines

For author information and guidelines on submission criteria, visit the
Author’s Information page. Please submit papers through the ScholarOne
system and be sure to select the special issue or special section name.
Manuscripts should not be published or currently submitted for publication
elsewhere. Please submit only full papers intended for review, not
abstracts, to the ScholarOne portal. If requested, abstracts should be sent
by email to the guest editors directly.

________________________________

Questions?
Contact the guest editors at cga5-2025 at computer.org.
Elisabeta (Liz) Marai, CGA AE, Professor of Computer Science, University of
Illinois Chicago
and
Jillian Aurisano, Assistant Professor of Computer Science, University of
Cincinnati