scholarly journals An interactive web-based tool for multi-scale physiological data visualization

Author(s):  
M. Oefinger ◽  
W. Zong ◽  
M. Krieger ◽  
R.G. Mark
2021 ◽  
Author(s):  
Sehi L'Yi ◽  
Qianwen Wang ◽  
Fritz Lekschas ◽  
Nils Gehlenborg

The combination of diverse data types and analysis tasks in genomics has resulted in the development of a wide range of visualization techniques and tools. However, most existing tools are tailored to a specific problem or data type and offer limited customization, making it challenging to optimize visualizations for new analysis tasks or datasets. To address this challenge, we designed Gosling—a grammar for interactive and scalable genomics data visualization. Gosling balances expressiveness for comprehensive multi-scale genomics data visualizations with accessibility for domain scientists. Our accompanying JavaScript toolkit called Gosling.js provides scalable and interactive rendering. Gosling.js is built on top of an existing platform for web-based genomics data visualization to further simplify the visualization of common genomics data formats. We demonstrate the expressiveness of the grammar through a variety of real-world examples. Furthermore, we show how Gosling supports the design of novel genomics visualizations. An online editor and examples of Gosling.js and its source code are available at https://gosling.js.org.


2020 ◽  
Author(s):  
Anabelle Laurent ◽  
Xiaodan Lyu ◽  
Peter Kyveryga ◽  
David Makowski ◽  
Heike Hofmann ◽  
...  

Author(s):  
Billy Charlton ◽  
Janek Laudan

There are many tools available for analyzing MATSim transport simulation results, both open-source and commercial. This research builds a new open-source visualization platform for MATSim outputs that is entirely web-based. After initial experiments with many different web technologies, a client-server platform design emerges which leverages the advanced user interface capabilities of modern browsers on the front-end, and relies on back-end server processing for more processor-intensive tasks. The initial platform is now operational and includes several aggregate-level visualizations including origin–destination flows, transit supply, and emissions levels as well as a fully disaggregate traffic animation visualization. These visualizations are general enough to be useful for various projects. Further work is needed to make them more compelling and the platform more useful for practitioners.


2015 ◽  
Vol 3 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Sungchul Lee ◽  
Ju-Yeon Jo ◽  
Yoohwan Kim

The Nevada Solar Energy-Water-Environment Nexus project collects a large amount of environmental data from a variety of sensors such as soil, atmosphere, biology, and ecology. Mostly, the environmental data is related to a development of renewable energy resources in the Nexus project. The environmental data can have an impact on other research fields if it can easily be shared with other researchers, students, teachers, and general users. Therefore, Nevada Climate Change Portal (NCCP) site was created for Nexus project with a purpose of sharing such data. However, there are some challenges to address in utilizing such data, collecting the data, and sharing the data among the users. In this research, the authors propose Extended Web Service Architecture for solving these challenges. The authors implement Arduino instead of CR1000 as a collector due to its cost effectiveness. The authors also use REST API to overcome the limitations of Arduino. Moreover, the authors experiment with popular Web-based data visualization tools such as Google Chart, Flex, OFC, and D3 to visualize NCCP data.


Author(s):  
Tarek Sherif ◽  
Nicolas Kassis ◽  
Marc-Étienne Rousseau ◽  
Reza Adalat ◽  
Alan C. Evans
Keyword(s):  

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