scholarly journals Facilitating Collaborative Analysis in SWAN

2019 ◽  
Vol 214 ◽  
pp. 07022
Author(s):  
Enrico Bocchi ◽  
Diogo Castro ◽  
Hugo Gonzalez ◽  
Massimo Lamanna ◽  
Pere Mato ◽  
...  
Keyword(s):  
Data Analysis ◽  
Special Kind ◽  
Service Model ◽  
Web Browser ◽  
Web Based ◽  
Single File ◽  
Cloud Storage Service ◽  
Collaborative Analysis ◽  
Interactive Data ◽  
The Ideal

SWAN (Service for Web-based ANalysis) is a CERN service that allows users to perform interactive data analysis in the cloud, in a “software as a service” model. It is built upon the widely-used Jupyter notebooks, allowing users to write - and run - their data analysis using only a web browser. By connecting to SWAN, users have immediate access to storage, software and computing resources that CERN provides and that they need to do their analyses. Besides providing an easier way of producing scientific code and results, SWAN is also a great tool to create shareable content. From results that need to be reproducible, to tutorials and demonstrations for outreach and teaching, Jupyter notebooks are the ideal way of distributing this content. In one single file, users can include their code, the results of the calculations and all the relevant textual information. By sharing them, it allows others to visualize, modify, personalize or even re-run all the code. In that sense, this paper describes the efforts made to facilitate sharing in SWAN. Given the importance of collaboration in our scientific community, we have brought the sharing functionality from CERNBox, CERN’s cloud storage service, directly inside SWAN. SWAN users have available a new and redesigned interface where theycan share “Projects”: a special kind of folder containing notebooks and other files, e.g., like input datasets and images. When a user shares a Project with some other users, the latter can immediately see andwork with the contents of that project from SWAN.

scholarly journals GNPS Dashboard: Collaborative Analysis of Mass Spectrometry Data in the Web Browser

2021 ◽  
Author(s):  
Daniel Petras ◽  
Vanessa V Phelan ◽  
Deepa D Acharya ◽  
Andrew E Allen ◽  
Allegra T Aron ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Mass Spectrometry Data ◽  
Visualization Tool ◽  
Critical Aspect ◽  
Web Browser ◽  
Web Based ◽  
Private And Public ◽  
Collaborative Analysis ◽  
The Web

Access to web-based platforms has enabled scientists to perform research remotely. A critical aspect of mass spectrometry data analysis is the inspection, analysis, and visualization of the raw data to validate data quality and confirm statistical observations. We developed the GNPS Dashboard, a web-based data visualization tool, to facilitate synchronous collaborative inspection, visualization, and analysis of private and public mass spectrometry data remotely.

scholarly journals BioJupies: Automated Generation of Interactive Notebooks for RNA-seq Data Analysis in the Cloud

2018 ◽  
Author(s):  
Denis Torre ◽  
Alexander Lachmann ◽  
Avi Ma’ayan
Keyword(s):  
Data Analysis ◽  
Rna Seq ◽  
Web Based ◽  
Automated Generation ◽  
Data Analyses ◽  
Novice Users ◽  
Interactive Data ◽  
Intuitive User Interface ◽  
Intuitive Interface ◽  
Data Visualizations

AbstractInteractive notebooks can make bioinformatics data analyses more transparent, accessible and reusable. However, creating notebooks requires computer programming expertise. Here we introduce BioJupies, a web server that enables automated creation, storage, and deployment of Jupyter Notebooks containing RNA-seq data analyses. Through an intuitive interface, novice users can rapidly generate tailored reports to analyze and visualize their own raw sequencing files, their gene expression tables, or fetch data from >5,500 published studies containing >250,000 preprocessed RNA-seq samples. Generated notebooks have executable code of the entire pipeline, rich narrative text, interactive data visualizations, and differential expression and enrichment analyses. The notebooks are permanently stored in the cloud and made available online through a persistent URL. The notebooks are downloadable, customizable, and can run within a Docker container. By providing an intuitive user interface for notebook generation for RNA-seq data analysis, starting from the raw reads, all the way to a complete interactive and reproducible report, BioJupies is a useful resource for experimental and computational biologists. BioJupies is freely available as a web-based application from:http://biojupies.cloudand as a Chrome extension from theChrome Web Store.

Awareness of the preventive measures against Covid -19 spread among small shop owners

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1144-1150
Author(s):  
Muralidharan V A ◽  
Gheena S
Keyword(s):  
Infectious Disease ◽  
Data Analysis ◽  
Preventive Measures ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Positive Perception ◽  
Cross Sectional ◽  
Web Based ◽  
Small Shop ◽  
Structured Questionnaire

Covid -19 is an infectious disease caused by the newly discovered strain of coronavirus. As there is no vaccine discovered, the only way to prevent the spread is through following the practice of social isolation. But prolonged isolation may also lead to psychological stress and problems. The objective of the survey was to assess the knowledge and awareness of preventive measures against Covid 19 amongst small shop owners. A web-based cross-sectional study was conducted amongst the small shop owners.  A structured questionnaire comprising 15-17 questions had been put forth to assess the Covid 19 related knowledge and perception. The shopkeepers were contacted telephonically and responses recorded. The data analysis was performed using IBM SPSS statistics. Although the majority of the population had a positive perception about the preventive measures against the Covid spread, 36% of the shopkeepers were not aware of the preventive measures against the Covid spread. This study found optimal knowledge and perception of the preventive measures against Covid spread among the shopkeepers but misinformation and misunderstanding still prevailing. The shopkeepers are crucial in the prevention of the spread of Covid 19 and educating them might aid us in the fight against Covid- 19. 

Interactive Data Analysis of the 1980 Election

1983 ◽  
Vol 38 ◽  
pp. 2-3
Author(s):  
Jon A. Christopherson ◽  
Phillip J. Heyl
Keyword(s):  
Data Analysis ◽  
Voting Behavior ◽  
Social Science Research ◽  
Science Research ◽  
Coast Guard ◽  
Dartmouth College ◽  
Time Sharing ◽  
Batch Mode ◽  
Interactive Data Analysis ◽  
Interactive Data

By introducing data analysis techniques, analyzing current research in voting behavior, and using the computer for social science research, introductory American Government courses on the undergraduate level are undertaking ambitious goals. Using the SETUPS units for each presidential election since 1972, cadets at the Coast Guard Academy have engaged in a comprehensive approach to the study of American electoral behavior in an interactive data analysis mode. Although SETUPS modules are run at most colleges and universities in batch mode, there are imitations and drawbacks to batch mode. The Coast Guard Academy is able to utilize interactive data analysis as a result of its time-sharing arrangement with the Dartmouth College Time Sharing System (DCTS). In this article we will discuss the use of SETUPS in an interactive mode using the CIDAR interactive data analysis system.

Interactive Data Analysis.

1978 ◽  
Vol 73 (364) ◽  
pp. 887
Author(s):  
Jeffrey B. Birch ◽  
Donald R. McNeil
Keyword(s):  
Data Analysis ◽  
Interactive Data Analysis ◽  
Interactive Data

Investigation and Implementation of a Web-Based CAD System for Fabric Appearance

2010 ◽  
Vol 129-131 ◽  
pp. 645-647
Author(s):  
Fan Lei Yan ◽  
Lian He Yang ◽  
Hai Feng Chang
Keyword(s):  
Data Exchange ◽  
3D Model ◽  
Texture Mapping ◽  
Future Research ◽  
Web Browser ◽  
Research Directions ◽  
Web Based ◽  
Cad System ◽  
Key Technologies ◽  
Future Research Directions

The area of web-based CAD system has grown since the mid-1990s. This paper introduces a new web-based CAD system for fabric appearance. The system uses the Browser/Server structure, and the designer can employ this system installed on the server to build a 3D model of fabric appearance through the Web browser. The basic architecture is discussed in this paper. Some key technologies, such as graphics display, texture mapping and the data exchange, are also investigated. In the last, some future research directions are presented.

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