This Research Topic collects work presented during the
12th International Meeting on Visualizing Biological Data (VIZBI 2022) and the
13th International Meeting on Visualizing Biological Data (VIZBI 2023) conferences. The conferences feature talks from 21 world-leading researchers showcasing visualizations transforming how life scientists view data, and driving key advances in molecular biology, systems biology, biomedical science, and ecology. In addition, the conference includes work presented as posters and lightning talks, contributed from the other conference attendees.
All conference speakers and participants have the opportunity to disseminate work presented during the meeting as peer-reviewed publications, through this Research Topic. Manuscripts will be handled by an editorial board formed from VIZBI session chairs, along with eminent speakers from past meetings.
Manuscript Types. Manuscripts must be formatted to match one of the following article types: Original Research, Systematic Reviews, Methods, Review, Mini Review, Perspective, Data Report, Brief Research Report, Opinion. For more information, see the description of acceptable
Article Types for the
Frontiers in Bioinformatics journal.
Biological Data. Manuscripts for this Research Topic should describe advances in visualization method that are of direct relevance data from any area of the life sciences, including:
? Genomics and epigenetics datasets
? RNA or on transcriptome data
? Protein and proteomics datasets
? Cellular systems and cellular-scale data
? Tissue-scale data
? Populations or ecosystem data
Visualization Methods. All accepted submissions in this Research Topic will appear in the
Data Visualization section of the Frontiers in Bioinformatics journal. Within scope includes all visualization advances aimed at improving how life scientists explore and interpret data, or how they communicate their insights. This encompasses novel visual methods, software prototypes or tools, as well as user studies or design studies. We especially welcome contributions from interdisciplinary teams, including bioinformaticians, data scientists, computer scientists, and experimentalists, as well as medical illustrators, graphic designers, and graphic artists. Out of scope would be work on generic data visualization concepts that do not have direct application to specific biological datasets.
