scholarly journals JavaProtein Dossier: a novel web-based data visualization tool for comprehensive analysis of protein structure

2004 ◽  
Vol 32 (Web Server) ◽  
pp. W595-W601 ◽  
Author(s):  
G. Neshich ◽  
W. Rocchia ◽  
A. L. Mancini ◽  
M. E. B. Yamagishi ◽  
P. R. Kuser ◽  
...  
Author(s):  
Hristo Bakardzhiev ◽  
Marloes van der Burgt ◽  
Eduardo Martins ◽  
Bart van den Dool ◽  
Chyara Jansen ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
pp. 5967-5973
Author(s):  
A. M. Kayanda ◽  
D. Machuve

Data visualization is important for understanding the enormous amount of data generated daily. The education domain generates and owns huge amounts of data. Presentation of these data in a way that gives users quick and meaningful insights is very important. One of the biggest challenges in education is school dropouts, which is observed from basic education levels to colleges and universities. This paper presents a web-based data visualization tool for school dropouts in Tanzania targeting primary and secondary schools, together with the users’ feedback regarding the developed tool. We collected data from the United Republic of Tanzania Government Open Data Portal and the President’s Office - Regional Administration and Local Government (PO-RALG). Python was then used to preprocess the data, and finally, with JavaScript, a web-based tool was developed for data visualization. User acceptance testing was conducted and the majority agreed that data visualization is very helpful for quickly understanding data, reporting, and decision making. It was also noted that the developed tool could be useful not only in the education domain but it could also be adopted by other departments and organizations of the government.


2012 ◽  
Vol 197 ◽  
pp. 633-637
Author(s):  
Nataša Veljković ◽  
Igor Antolović ◽  
Leonid Stoimenov

This paper deals with representation of scientific references’ data and visual analysis of this data using web based scientific reference management software. The Reference application, is a web based reference management software, that enables easy administration and management of authors and scientific references. Similar web based reference management systems additionally support advanced tools for data visualization and exploration but the downside of this solutions is that they require installation of additional plugins due to the fact that visualization within the web browsers requires advanced graphics capabilities thus limiting the usability of these applications. The Reference application on the other hand introduces a solution for data visualization and exploration that relies on extensive usage of the latest HTML5 web standard featuring support for rich graphic intensive web applications hence forcing maximum usability and compatibility with the modern web browsers. This paper describes the visualization tool within Reference application, its implementation and functionalities.


2020 ◽  
Vol 6 (3) ◽  
pp. 563-566
Author(s):  
Cristina Laura Oyarzun ◽  
Katrin Hartwig ◽  
Anna-Sophie Hertlein ◽  
Florian Jung ◽  
Jan Burmeister ◽  
...  

AbstractProper treatment of prostate cancer is essential to increase the survival chance. In this sense, numerous studies show how important the communication between all stakeholders in the clinic is. This communication is difficult because of the lack of conventions while referring to the location where a biopsy for diagnosis was taken. This becomes even more challenging taking into account that experts of different fields work on the data and have different requirements. In this paper a web-based communication tool is proposed that incorporates a visualization of the prostate divided into 27 segments according to the PI-RADS protocol. The tool provides 2 working modes that consider the requirements of radiologist and pathologist while keeping it consistent. The tool comprises all relevant information given by pathologists and radiologists, such as, severity grades of the disease or tumor length. Everything is visualized using a colour code for better undestanding.


Author(s):  
Liangjian Chen ◽  
Siyu Chen ◽  
Shengnan Guo ◽  
Yue Yang ◽  
Jianqiu Xu

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