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

• Published in: bioRxiv
• Main Authors: Feseha, Yodit, Moiteaux, Quentin, Geffard, Estelle, Ramstein, Gerard, Brouard, Sophie, Danger, Richard
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 25.04.2020
• Subjects: Computer applications; Flow cytometry; Gene expression; Laboratories; Ribonucleic acid; RNA
• DOI: 10.1101/2020.04.23.055673

Background- Web-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. Results- We 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. Conclusions- FaDA 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 Competing Interest Statement The authors have declared no competing interest. Footnotes * https://shiny-bird.univ-nantes.fr/app/Fada