scholarly journals Task-based assessment of visualization tools for the comparison of biological taxonomies

2018 ◽  
Vol 4 ◽  
pp. e25742 ◽  
Author(s):  
Lilliana Sancho-Chavarria ◽  
Fabian Beck ◽  
Daniel Weiskopf ◽  
Erick Mata-Montero

Maintenance and curation of large-sized biological taxonomies are complex and laborious activities. Information visualization systems use interactive visual interfaces to facilitate analytical reasoning on complex information. Several approaches such as treemaps, indented lists, cone trees, radial trees, and many others have been used to visualize and analyze a single taxonomy. In addition, methods such as edge drawing, animation, and matrix representations have been used for comparing trees. Visualizing similarities and differences between two or more large taxonomies is harder than the visualization of a single taxonomy. On one hand, less space is available on the screen to display each tree; on the other hand, differences should be highlighted. The comparison of two alternative taxonomies and the analysis of a taxonomy as it evolves over time provide fundamental information to taxonomists and global initiatives that promote standardization and integration of taxonomic databases to better document biodiversity and support its conservation. In this work we assess how ten user visualization tasks for the curation of biological taxonomies are supported by several visualization tools. Tasks include the identification of conditions such as congruent taxa, splits, merges, and new species added to a taxonomy. We consider tools that have gone beyond the prototype stage, that have been described in peer-reviewed publications, or are in current use. We conclude with the identification of challenges for future development of taxonomy comparison tools.

2014 ◽  
Vol 556-562 ◽  
pp. 5482-5487
Author(s):  
Hui Ran Zhang ◽  
Xiao Long Shen ◽  
Jiang Xie ◽  
Dong Bo Dai

Analyzing similarities and differences between biomolecular networks comparison through website intuitively could be a convenient and effective way for researchers. Although several network comparison visualization tools have been developed, none of them can be integrated into websites. In this paper, a web-based tool kit named dynamically adaptive Visualization of Biomolecular Network Comparison (Bio-NCV) is designed and developed. The proposed tool is based on Cytyoscape.js – a popular open-source library for analyzing and visualizing networks. Bio-NCV integrates arjor.js which including the Barnes-Hut algorithm and the Traer Physics library for processing in order to express the dynamically adaptive initialization. In addition, in order to maintain consistency, the counterparts in other networks will change while the nodes and edges in one of the compared networks change. Furthermore, Bio-NCV can deal with both directed and undirected graphs.


2020 ◽  
Vol 179 ◽  
pp. 02013
Author(s):  
Yi Zou ◽  
Na Qi

The visual design of the infographic is designed to compress complex information and present it to the audience through an intuitive and easy-to-understand expression, so that they can effectively absorb the content therein. With the continuous development of science and information visualization technology, the production methods and presentation forms of information charts have become more and more abundant, and the direction from two-dimensional information charts to multi-dimensional information charts and dynamic information charts has continuously evolved. This paper cuts in from the perspective of user experience, and proposes optimization suggestions for the current status of visual design of infographics.


Author(s):  
Ezequiel R. Zorzal ◽  
Celso A.R. de Sousa ◽  
Alexandre Cardoso ◽  
Claudio Kirner ◽  
Edgard A. Lamouner ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
pp. 283-292
Author(s):  
Rosaura Fernández-Pascual ◽  
Ana Marín Jiménez ◽  
María Pilar Fernández- Sánchez

This paper explores how to incorporate information visualization tools into qualitative studies to represent the underlying structure of knowledge. Information visualization plays a key role in many areas such as decision-making, data mining, market studies, or knowledge management. A case of experiential learning was developed for Quantitative Techniques in Business and Administration and Economy Degrees at the University of Granada, Spain. The goal is to analyze the opinion of students (n = 227) on the development of the activity through information visualization techniques. The gathered information was subjected to a categorization process to unify and homogenize the responses. After a term-clumping process, a co-word analysis using the VosViewer software is used to analyze the relationships among terms and provide the network maps. Results display the main associations and clusters of terms used when assessing the experiential activity, using qualitative techniques. In conclusion, the strengths of data visualization enabling a better understanding of data for qualitative studies are established. This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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