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Bibliografias temáticas / Compact visualization

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Artigos de revistas

Literatura científica selecionada sobre o tema "Compact visualization"

Autor: Grafiati

Publicado: 7 de julho de 2024

Última modificação: 7 de julho de 2024

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Artigos de revistas sobre o assunto "Compact visualization"

1

van Ham, Frank, and Jarke J. van Wijk. "Beamtrees: Compact Visualization of Large Hierarchies." Information Visualization 2, no. 1 (2003): 31–39. http://dx.doi.org/10.1057/palgrave.ivs.9500036.

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Beamtrees are a new method for the visualization of large hierarchical data sets, such as directory structures and organization structures. Nodes are shown as stacked circular beams such that both the hierarchical structure as well as the size of nodes are depicted. The dimensions of beams are calculated using a variation of the treemap algorithm. Both a two-dimensional and a three-dimensional variant are presented. A small user study indicated that beamtrees are significantly more effective than nested treemaps and cushion treemaps for the extraction of global hierarchical information.

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2

Shin, DongHwa, and Hyunjoo Song. "Compact Layout for Matrix-based Visualization." Journal of Digital Contents Society 19, no. 10 (2018): 1967–73. http://dx.doi.org/10.9728/dcs.2018.19.10.1967.

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3

Jayaraman, S., B. Jayaraman, and D. Lessa. "Compact visualization of Java program execution." Software: Practice and Experience 47, no. 2 (2016): 163–91. http://dx.doi.org/10.1002/spe.2411.

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4

Xu, Shuangbin, Zehan Dai, Pingfan Guo, et al. "ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data." Molecular Biology and Evolution 38, no. 9 (2021): 4039–42. http://dx.doi.org/10.1093/molbev/msab166.

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Abstract We present the ggtreeExtra package for visualizing heterogeneous data with a phylogenetic tree in a circular or rectangular layout (https://www.bioconductor.org/packages/ggtreeExtra). The package supports more data types and visualization methods than other tools. It supports using the grammar of graphics syntax to present data on a tree with richly annotated layers and allows evolutionary statistics inferred by commonly used software to be integrated and visualized with external data. GgtreeExtra is a universal tool for tree data visualization. It extends the applications of the phylogenetic tree in different disciplines by making more domain-specific data to be available to visualize and interpret in the evolutionary context.

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5

Sun, Shangwu, Rui Zhu, Mengyao Zhu, Qi Wang, Na Li, and Bei Yang. "Visualization of conformational transition of GRP94 in solution." Life Science Alliance 7, no. 2 (2023): e202302051. http://dx.doi.org/10.26508/lsa.202302051.

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GRP94, an ER paralog of the heat-shock protein 90 family, binds and hydrolyses ATP to chaperone the folding and maturation of its selected clients. Compared with other hsp90 proteins, the in-solution conformational dynamics of GRP94 along the ATP hydrolysis cycle are less understood, hindering our understanding of its chaperoning mechanism. Leveraging small-angle X-ray scattering, negative-staining EM, and hydrogen–deuterium exchange coupled mass-spec, here we show that in its apo form, ∼60% of mouse GRP94 (mGRP94) populates an “extended” conformation, whereas the rest exist in either “close V” or “twist V” like “compact” conformations. Different from other hsp90 proteins, the presence of AMPPNP only impacts the relative abundance of the two compact conformations, rather than shifting the equilibrium between the “extended” and “compact” conformations of mGRP94. HDX-MS study of apo, AMPPNP-bound, and ADP-bound mGRP94 suggests a conformational transition from “twist V” to “close V” upon ATP binding and a back transition from “close V” to “twist V” upon ATP hydrolysis. These results illustrate the dissimilarities of GRP94 in conformation transition during ATP hydrolysis from other hsp90 paralogs.

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6

Sati, Mukul, Peter Lindstrom, and Jarek Rossignac. "eBits: Compact stream of mesh refinements for remote visualization." Computer-Aided Design 78 (September 2016): 168–78. http://dx.doi.org/10.1016/j.cad.2016.05.016.

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7

Pagendarm, H. G., and B. Walter. "Competent, compact, comparative visualization of a vortical flow field." IEEE Transactions on Visualization and Computer Graphics 1, no. 2 (1995): 142–50. http://dx.doi.org/10.1109/2945.468405.

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8

Murphy, Tara, Peter Lamb, Christopher Owen, and Malte Marquarding. "Data Storage, Processing, and Visualization for the Australia Telescope Compact Array." Publications of the Astronomical Society of Australia 23, no. 1 (2006): 25–32. http://dx.doi.org/10.1071/as05033.

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AbstractWe present three Virtual Observatory tools developed at the Australia Telescope National Facility (ATNF) for the storage, processing and visualization of Australia Telescope Compact Array (ATCA) data. These are the Australia Telescope Online Archive, a prototype data-reduction pipeline, and the Remote Visualization System. These tools were developed in the context of the Virtual Observatory and were intended to be both useful for astronomers and technology demonstrators. We discuss the design and implementation of these tools, as well as issues that should be considered when developing similar systems for future telescopes.

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9

Guchuk, V. V. "Compact visualization of dynamic parameters in monitoring and control systems." Scientific Visualization 10, no. 2 (2018): 70–83. http://dx.doi.org/10.26583/sv.10.2.05.

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10

Chen, Fanchao, Dixin Tang, Haotian Li, and Aditya G. Parameswaran. "Visualizing Spreadsheet Formula Graphs Compactly." Proceedings of the VLDB Endowment 16, no. 12 (2023): 4030–33. http://dx.doi.org/10.14778/3611540.3611613.

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Spreadsheets are a ubiquitous data analysis tool, empowering non-programmers and programmers alike to easily express their computations by writing formulae alongside data. The dependencies created by formulae are tracked as formula graphs, which play a central role in many spreadsheet applications and are critical to the interactivity and usability of spreadsheet systems. Unfortunately, as formula graphs become large and complex, it becomes harder for end-users to make sense of formula graphs and trace the dependents or precedents of cells to check the accuracy of individual formulae and identify sources of errors. In this paper, we demonstrate a spreadsheet formula graph visualization tool, TACO-Lens, developed as a plugin for Microsoft Excel. Our plugin leverages TACO, our framework for compactly and efficiently representing formula graphs. TACO compresses formula graphs using a key spreadsheet property: tabular locality, which means that cells close to each other are likely to have similar formula structures. This compact representation enables end-users to more easily consume complex dependencies and reduces the response time for tracing dependents and precedents. TACO-Lens, our visualization plugin, depicts the compact representation of TACO and supports users in visually tracing dependents and precedents. In this demonstration, attendees can compare the visualizations of different formula graphs using TACO, Excel's built-in dependency tracing tool, and an approach that does not compress formula graphs, and quantitatively compare the different response time of different approaches.

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