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bioRxiv · 10.1101/2020.04.23.055673

FaDA: A Shiny web application to accelerate common lab data analyses

Feseha, Y.·Moiteaux, Q.·Geffard, E.·Ramstein, G.·Brouard, S.·Danger, R.
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Abstract

BackgroundWeb-based data analysis and visualization tools are mostly designed for specific purposes, such as data from whole transcriptome RNA sequencing or single-cell RNA sequencing. However, limited efforts have been made to develop tools designed for data of common laboratory data for non-computational scientists. The importance of such web-based tool is stressed by the current increased samples capacity of conventional laboratory tools such as quantitative PCR, flow cytometry or ELISA. ResultsWe provide a web-based application FaDA, developed with the R Shiny package providing users to perform statistical group comparisons, including parametric and non-parametric tests, with multiple testing corrections suitable for most of the standard wet-lab analyses. FaDA provides data visualization such as heatmap, principal component analysis (PCA) and receiver operating curve (ROC). Calculations are performed through the R language. ConclusionsFaDA application provides a free and intuitive interface allowing biologists without bioinformatic skills to easily and quickly perform common lab data analyses. The application is freely accessible at https://shiny-bird.univ-nantes.fr/app/Fada AbbreviationsAUC: Area Under the Curve; FaDA: Fast Data Analysis; GEO: Gene Expression Omnibus; ELISA: enzyme-linked immunosorbent assay; PCA: Principal Component Analysis; qPCR: quantitative PCR; ROC: Receiver Operating Curve.

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Feseha, Y., Moiteaux, Q., Geffard, E., Ramstein, G., Brouard, S., Danger, R.. 2020-04-25. FaDA: A Shiny web application to accelerate common lab data analyses. https://doi.org/10.1101/2020.04.23.055673

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