scholarly journals SuperPlotsOfData – a web app for the transparent display and quantitative comparison of continuous data from discrete conditions

2020 ◽  
Author(s):  
Joachim Goedhart
Keyword(s):  
Experimental Design ◽  
Open Access ◽  
Open Source ◽  
Data Visualization ◽  
State Of The Art ◽  
Quantitative Comparison ◽  
Continuous Data ◽  
Transparent Display ◽  
Web App ◽  
Free Open Source

AbstractPlots and charts are graphical tools that make data intelligible and digestible by humans. But the oversimplification of data by only plotting the statistical summaries conflicts with the transparent communication of results. Therefore, plotting of all data is generally encouraged and this can be achieved by using a dotplot for discrete conditions. Dotplots, however, often fail to communicate whether the data are from different technical or biological replicates. The superplot has been proposed to improve the communication of experimental design and results. To simplify the plotting of data from discrete conditions as a superplot, the SuperPlotsOfData web app was generated. The tool offers easy and open access to state-of-the-art data visualization. In addition, it incorporates recent innovations in data visualization and analysis, including raindcloud plots and estimation statistics. The free, open-source webtool can be accessed at: https://huygens.science.uva.nl/SuperPlotsOfData/Abstract Figure

scholarly journals SuperPlotsOfData – a web app for the transparent display and quantitative comparison of continuous data from different conditions

2021 ◽  
pp. mbc.E20-09-0583
Author(s):  
Joachim Goedhart
Keyword(s):  
Experimental Design ◽  
Open Access ◽  
Open Source ◽  
Data Visualization ◽  
State Of The Art ◽  
Quantitative Comparison ◽  
Continuous Data ◽  
Transparent Display ◽  
Web App ◽  
Free Open Source

Plots and charts are graphical tools that make data intelligible and digestible by humans. But the oversimplification of data by only plotting the statistical summaries conflicts with the transparent communication of results. Therefore, plotting of all data is generally encouraged and this can be achieved by using a dotplot for discrete conditions. Dotplots, however, often fail to communicate whether the data are from different technical or biological replicates. The superplot has been proposed by Lord and colleagues (Lord et al., 2020) to improve the communication of experimental design and results. To simplify the plotting of data from discrete conditions as a superplot, the SuperPlotsOfData web app was generated. The tool offers easy and open access to state-of-the-art data visualization. In addition, it incorporates recent innovations in data visualization and analysis, including raindcloud plots and estimation statistics. The free, open-source webtool can be accessed at: https://huygens.science.uva.nl/SuperPlotsOfData/

scholarly journals PlotTwist - a web app for plotting and annotating time-series data

2019 ◽  
Author(s):  
Joachim Goedhart
Keyword(s):  
Data Visualization ◽  
Time Series Data ◽  
State Of The Art ◽  
Time Lapse ◽  
Time Dependent ◽  
Series Data ◽  
R Shiny ◽  
The Mean ◽  
Web App ◽  
Over Time

The results from time-dependent experiments are often used to generate plots that visualize how the data evolves over time. To simplify state-of-the-art data visualization and annotation of data from such experiments, an open source tool was created with R/shiny that does not require coding skills to operate. The freely available web app accepts wide (spreadsheet) and tidy data and offers a range of options to normalize the data. The data from individual objects can be shown in three different ways: (i) lines with unique colors, (ii) small multiples and (iii) heatmap-style display. Next to this, the mean can be displayed with a 95% confidence interval for the visual comparison of different conditions. Several color blind friendly palettes are available to label the data and/or statistics. The plots can be annotated with graphical features and/or text to indicate any perturbations that were applied during the time-lapse experiments. All user-defined settings can be stored for reproducibility of the data visualization. The app is dubbed PlotTwist and is available online: https://huygens.science.uva.nl/PlotTwist

scholarly journals Differentiable Grammars for Videos

2020 ◽  
Vol 34 (07) ◽  
pp. 11874-11881
Author(s):  
AJ Piergiovanni ◽  
Anelia Angelova ◽  
Michael S. Ryoo
Keyword(s):  
Open Source ◽  
Real World ◽  
State Of The Art ◽  
The State ◽  
Generative Model ◽  
Continuous Data ◽  
Production Rules ◽  
Regular Grammar ◽  
Novel Algorithm

This paper proposes a novel algorithm which learns a formal regular grammar from real-world continuous data, such as videos. Learning latent terminals, non-terminals, and production rules directly from continuous data allows the construction of a generative model capturing sequential structures with multiple possibilities. Our model is fully differentiable, and provides easily interpretable results which are important in order to understand the learned structures. It outperforms the state-of-the-art on several challenging datasets and is more accurate for forecasting future activities in videos. We plan to open-source the code.1

An Overview of Penetration Testing

2014 ◽  
Vol 6 (4) ◽  
pp. 50-74 ◽  
Author(s):  
Chiem Trieu Phong ◽  
Wei Qi Yan
Keyword(s):  
Open Source ◽  
State Of The Art ◽  
System Security ◽  
Penetration Test ◽  
Penetration Testing ◽  
Wide Range ◽  
Free Open Source

Penetration testing is an effort to attack a system using similar techniques and tools adopted by real hackers. The ultimate goal of penetration testing is to call to light as many existing vulnerabilities as possible, then come up with practical solutions to remediate the problems; thus, enhance the system security as a whole. The paper introduces concepts and definitions related to penetration testing, together with different models and methodologies to conduct a penetration test. A wide range of penetration testing state-of-the-art, as well as related tools (both commercial and free open source available on the market) are also presented in relatively rich details.

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