PQuad—a visual analysis platform for proteomic data exploration of microbial organisms

2007 ◽  
Vol 23 (13) ◽  
pp. 1705-1707 ◽  
Author(s):  
Bobbie-Jo M. Webb-Robertson ◽  
Elena S. Peterson ◽  
Mudita Singhal ◽  
Kyle R. Klicker ◽  
Christopher S. Oehmen ◽  
...  
2017 ◽  
Vol 19 (5) ◽  
pp. 85-91 ◽  
Author(s):  
Alcebiades Dal Col ◽  
Paola Valdivia ◽  
Fabiano Petronetto ◽  
Fabio Dias ◽  
Claudio T. Silva ◽  
...  

2021 ◽  
Author(s):  
Keling Liu ◽  
Wenting Wu ◽  
Qiaozhen Zhang ◽  
Kun Cai ◽  
Le Zhang

2014 ◽  
Vol 501-504 ◽  
pp. 1408-1412
Author(s):  
Yi Fan Jia ◽  
Yun Dong Peng ◽  
Hua Jiang

The design and construction of the stiffening steel truss bridge is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of Baling River Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of Baling River Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.


2017 ◽  
Vol 08 (04) ◽  
pp. 1173-1183 ◽  
Author(s):  
J. Christoph ◽  
C. Knell ◽  
A. Bosserhoff ◽  
E. Naschberger ◽  
M. Stürzl ◽  
...  

Background Platforms like tranSMART assist researchers in analyzing clinical and corresponding omics data. Usability is an important, yet often overlooked, factor affecting the adoption and meaningful use. Analyses on the specific needs of translational researchers and considerations about the application of such platforms for education are rare. Objectives The aim of this study was to test whether tranSMART can be used in education and how well medical students and professional researchers can handle it; to identify which kind of translational researchers—in terms of skills, experienced limitations, and available data—can take advantage of tranSMART; and to evaluate the usability and to generate recommendations for improvements. Methods An online-based test has been done by medical students (N = 109) and researchers (N = 26). The test comprised 13 tasks in the context of four typical research scenarios based on experimental and clinical data. A web questionnaire was provided to identify both the needs and the conditions of research as well as to evaluate the system's usability based on the “System Usability Scale” (SUS). Results Students and researchers were able to handle tranSMART well and coped with most scenarios: cohort identification, data exploration, hypothesis generation, and hypothesis validation were answered with a rate of correctness between 82 and 100%. Of the total, 72.2% of the teaching researchers considered tranSMART suitable for their lessons and 84.6% of the researchers considered the platform useful for their daily work; 65.4% of the researchers named the nonavailability of a platform like tranSMART as a restriction on their research. The usability was rated “acceptable” with a SUS of 70.8. Conclusion tranSMART is potentially suitable for education purposes and fits most of the needs of translational researchers. Improvements are needed on the presentation of analysis results and on the guidance of users through the analysis, especially to ensure the compliance of the analysis with the requirements of statistical testing.


2017 ◽  
Vol 5 (1) ◽  
pp. 42 ◽  
Author(s):  
Jia Wang ◽  
Mengyao Guo ◽  
Li Zhang ◽  
Lujie Chen ◽  
Xiaorong Hou

With the rapid development of social media, the dissemination of health information has attracted more attention from people. To reveal the rule and mode of information diffusion path is the key to effective crisis prevention and control of information. In this paper, the team took the vaccine safety events as an example, selected and analyzed two hottest microblogs from each phase of one event. The team did visual analysis via Zhiwei which was one academic micro data analysis platform, and utilized social network analysis (SNA) to explore the propagating rules of public opinion.


2019 ◽  
Vol 78 (24) ◽  
pp. 34613-34625
Author(s):  
Zhihan Lv ◽  
Tianyun Su

Author(s):  
Jianfeng An ◽  
Tingting Qiao ◽  
Xu Yang ◽  
Hongyan Hong ◽  
Dong Cheng ◽  
...  

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