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. 2024 Feb 29;6(2):fcae074.
doi: 10.1093/braincomms/fcae074. eCollection 2024.

Laboratory Automated Interrogation of Data: an interactive web application for visualization of multilevel data from biological experiments

Owen R Dando  1   2   3   4 , Zrinko Kozic  1   4 , Sam A Booker  1   2   4 , Giles E Hardingham  1   2   3   4 , Peter C Kind  1   2   4
Affiliations

Laboratory Automated Interrogation of Data: an interactive web application for visualization of multilevel data from biological experiments

Owen R Dando et al. Brain Commun. .

Abstract

A key step in understanding the results of biological experiments is visualization of the data. Many laboratory experiments contain a range of measurements that exist within a hierarchy of interdependence. An automated and facile way to visualize and interrogate such multilevel data, across many experimental variables, would (i) lead to improved understanding of the results, (ii) help to avoid misleading interpretation of statistics and (iii) easily identify outliers and sources of batch and confounding effects. While many excellent graphing solutions already exist, they are often geared towards the production of publication-ready plots and the analysis of a single variable at a time, require programming expertise or are unnecessarily complex for the task at hand. Here, we present Laboratory Automated Interrogation of Data (LAB-AID), an interactive tool specifically designed to automatically visualize and query hierarchical data resulting from biological experiments.

Keywords: R Shiny; automatization; data; statistics; visualization.

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Conflict of interest statement

The authors report no competing interests.

Figures

Figure 1
Figure 1
The LAB-AID interface is split into seven major sections. The Data Select, Data Plots, Modelling, Correlation, Downloads, Configuration and About sections are accessible from the main tab bar. Here, the ‘Data Plots’ tab is selected.
Figure 2
Figure 2
The behaviour of experimental variables can be examined in detail by a range of automatically generated plots. Shown are examples of (A) violin plots, (B) bar plots, (C) histograms, (D) cumulative frequency distributions and (E) correlation heatmaps. All plots are generated automatically from the loaded data set and are immediately available through the LAB-AID interface, with no further setup or configuration required by the user.
See this image and copyright information in PMC

References

    1. Wong B. Visualizing biological data. Nat Methods. 2012;9(12):1131–1131.
    1. O’Donoghue SI, Baldi BF, Clark SJ, et al. Visualization of biomedical data. Annu Rev Biomed Data Sci. 2018;1(1):275–304.
    1. Rousselet GA, Pernet CR, Wilcox RR. Beyond differences in means: robust graphical methods to compare two groups in neuroscience. Eur J Neurosci. 2017;46(2):1738–1748. - PubMed
    1. Anscombe FJ. Graphs in statistical analysis. Am Stat. 1973;27(1):17–21.
    1. Lazic SE. The problem of pseudoreplication in neuroscientific studies: Is it affecting your analysis? BMC Neurosci. 2010;11(1):5. - PMC - PubMed

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