scholarly journals BioCircos.js: an interactive Circos JavaScript library for biological data visualization on web applications

2016 ◽  
Vol 32 (11) ◽  
pp. 1740-1742 ◽  
Author(s):  
Ya Cui ◽  
Xiaowei Chen ◽  
Huaxia Luo ◽  
Zhen Fan ◽  
Jianjun Luo ◽  
...  
Keyword(s):  
Data Visualization ◽  
Web Applications ◽  
Biological Data

Semiotic Content of Visuals and Communication

2014 ◽  
pp. 174-192
Keyword(s):  
Data Visualization ◽  
Verbal Communication ◽  
Biological Data ◽  
Scientific Study ◽  
Visual Design ◽  
Basic Information ◽  
Natural Processes ◽  
Sign Systems ◽  
Visualization Tools ◽  
Living Organisms

The semiotic content of visual design makes a foundation for non-verbal communication applied to practice, especially for visualizing knowledge. The ways signs convey meaning define the notion of semiotics. After inspection of the notions of sign systems, codes, icons, and symbols further text examines how to tie a sign or symbol to that for which it stands, combine images, and think figuratively or metaphorically. Further text introduces basic information about communication through metaphors, analogies, and about the scientific study of biosemiotics, which examines communication in living organisms aimed at conveying meaning, communicating knowledge about natural processes, and designing the biological data visualization tools.

scholarly journals Dynamic Data Visualizations to Enhance Insight and Communication Across the Lifecycle of a Scientific Project

2021 ◽  
Author(s):  
Kristina Wiebels ◽  
David Moreau
Keyword(s):  
Data Visualization ◽  
Web Applications ◽  
Scientific Communication ◽  
R Language ◽  
Challenges And Opportunities ◽  
Recent Developments ◽  
Data Points ◽  
Scientific Project ◽  
Active Exploration ◽  
Data Visualizations

In scientific communication, figures are typically rendered as static displays. This often prevents active exploration of the underlying data, for example to gauge the influence of particular data points or of particular analytic choices. Yet modern data visualization tools, from animated plots to interactive notebooks and reactive web applications, allow psychologists to share and present their findings in dynamic and transparent ways. In this tutorial, we present a number of recent developments to build interactivity and animations into scientific communication and publications, using examples and illustrations in the R language. In particular, we discuss when and how to build dynamic figures, with step-by-step reproducible code that can easily be extended to the reader’s own projects. We illustrate how interactivity and animations can facilitate insight and communication across a project lifecycle—from initial exchanges and discussions within a team to peer-review and final publication—and provide a number of recommendations to use dynamic visualizations effectively. We close with a reflection on how the scientific publishing model is currently evolving, and consider the challenges and opportunities this shift might bring along for data visualization.

scholarly journals BioVis Explorer: A visual guide for biological data visualization techniques

PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0187341 ◽  
Author(s):  
Andreas Kerren ◽  
Kostiantyn Kucher ◽  
Yuan-Fang Li ◽  
Falk Schreiber
Keyword(s):  
Data Visualization ◽  
Biological Data ◽  
Visualization Techniques

scholarly journals Highlights from the 5th Symposium on Biological Data Visualization: Part 1

2015 ◽  
Vol 16 (S11) ◽  
Author(s):  
Jan Aerts ◽  
G Elisabeta Marai ◽  
Kay Nieselt ◽  
Cydney Nielsen ◽  
Marc Streit ◽  
...  
Keyword(s):  
Data Visualization ◽  
Biological Data

scholarly journals R-Shiny as an Interface for Data Visualization and Data Analysis on the Brazilian Digital Library of Theses and Dissertations (BDTD)

Publications ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 24
Author(s):  
Lucca de Farias Ramalho ◽  
Washington R. de Carvalho Segundo
Keyword(s):  
Data Visualization ◽  
Digital Library ◽  
Web Applications ◽  
Scientific Information ◽  
Use Case ◽  
Bibliographic Data ◽  
R Shiny ◽  
Visualization Tools ◽  
Theses And Dissertations ◽  
Research Domain

This work presents a use case of building a data visualization interface for open-access repositories. The case in the analysis is the Brazilian Digital Library of Theses and Dissertations (BDTD). From the almost 670,000 records of BDTD, one applies statistical methods using the language R. One of the visualization packages of R is called Shiny, which makes it easy to build interactive web applications straight from R. Through the app, a user can visualize data in a fast and customizable way. It could help to keep track of metadata and usage statistics over the repositories and also can be applied to discovering scientific information, such as bibliographic data and lists of specialists in a certain research domain. These data visualization tools can stimulate others to create open repositories and join either national, regional or international repositories networks.

scholarly journals Zomit: biological data visualization and browsing

1998 ◽  
Vol 14 (9) ◽  
pp. 807-814 ◽  
Author(s):  
S. Pook ◽  
G. Vaysseix ◽  
E. Barillot
Keyword(s):  
Data Visualization ◽  
Biological Data

scholarly journals HeatMapViewer: interactive display of 2D data in biology

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 48 ◽  
Author(s):  
Guy Yachdav ◽  
Maximilian Hecht ◽  
Metsada Pasmanik-Chor ◽  
Adva Yeheskel ◽  
Burkhard Rost
Keyword(s):  
Web Applications ◽  
Biological Data ◽  
Expression Data ◽  
Data Types ◽  
Heat Maps ◽  
Microarray Experiments ◽  
Link Type ◽  
Interactive Display ◽  
Data Points ◽  
2D Data

Summary: The HeatMapViewer is a BioJS component that lays-out and renders two-dimensional (2D) plots or heat maps that are ideally suited to visualize matrix formatted data in biology such as for the display of microarray experiments or the outcome of mutational studies and the study of SNP-like sequence variants. It can be easily integrated into documents and provides a powerful, interactive way to visualize heat maps in web applications. The software uses a scalable graphics technology that adapts the visualization component to any required resolution, a useful feature for a presentation with many different data-points. The component can be applied to present various biological data types. Here, we present two such cases – showing gene expression data and visualizing mutability landscape analysis.Availability: https://github.com/biojs/biojs; http://dx.doi.org/10.5281/zenodo.7706.

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