FaDA: A web application for regular laboratory data analyses
| العنوان: | FaDA: A web application for regular laboratory data analyses |
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| المؤلفون: | Danger, Richard, Moiteaux, Quentin, Feseha, Yodit, Geffard, Estelle, Ramstein, Gérard, Brouard, Sophie |
| المساهمون: | Ramstein, Gérard, Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Centre hospitalier universitaire de Nantes (CHU Nantes), Institut de transplantation urologie-néphrologie (ITUN), Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes), Laboratoire des Sciences du Numérique de Nantes (LS2N), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Translational ImmunoGenetic in AutoImmunity and Transplantation (Team 5 - U1064 Inserm - CRTI), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), LabEX IGO Immunothérapie Grand Ouest, Nantes Université (Nantes Univ) |
| المصدر: | PLoS ONE PLoS ONE, 2021, 16 (12), pp.e0261083. ⟨10.1371/journal.pone.0261083⟩ PLoS One PLoS ONE, Vol 16, Iss 12, p e0261083 (2021) |
| بيانات النشر: | HAL CCSD, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Data Analysis, MESH: Data Visualization, Gene Expression, Datasets as Topic, MESH: Flow Cytometry, Computer Applications, MESH: Kidney Transplantation, Database and Informatics Methods, Mathematical and Statistical Techniques, Spectrum Analysis Techniques, MESH: Data Analysis, MESH: Datasets as Topic, Data Management, Statistical Data, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Principal Component Analysis, Multidisciplinary, Statistics, Software Engineering, Flow Cytometry, MESH: Internet, Spectrophotometry, Data Interpretation, Statistical, Physical Sciences, Web-Based Applications, MESH: Laboratories, Medicine, Engineering and Technology, Cytophotometry, Research Article, Computer and Information Sciences, Bioinformatics, Science, Research and Analysis Methods, MESH: Software, Genetics, Humans, Statistical Methods, Internet, MESH: Humans, Data Visualization, Biology and Life Sciences, Kidney Transplantation, Multivariate Analysis, Programming Languages, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Laboratories, MESH: Data Interpretation, Statistical, Mathematics, Software |
| الوصف: | Web-based data analysis and visualization tools are mostly designed for specific purposes, such as the analysis of data from whole transcriptome RNA sequencing or single-cell RNA sequencing. However, generic tools designed for the analysis of common laboratory data for noncomputational scientists are also needed. The importance of such web-based tools is emphasized by the continuing increases in the sample capacity of conventional laboratory tools such as quantitative PCR, flow cytometry or ELISA instruments. We present a web-based application FaDA, developed with the R Shiny package that provides users with the ability to perform statistical group comparisons, including parametric and nonparametric tests, with multiple testing corrections suitable for most standard wet-laboratory analyses. FaDA provides data visualizations such as heatmaps, principal component analysis (PCA) plots, correlograms and receiver operating curves (ROCs). Calculations are performed through the R language. The FaDA application provides a free and intuitive interface that allows biologists without bioinformatic skill to easily and quickly perform common laboratory data analyses. The application is freely accessible at https://shiny-bird.univ-nantes.fr/app/Fada. |
| اللغة: | English |
| تدمد: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0261083 |
| DOI: | 10.1371/journal.pone.0261083⟩ |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffdb85e1ac20e7606a35adda9ead7bc7 https://doi.org/10.1371/journal.pone.0261083 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ffdb85e1ac20e7606a35adda9ead7bc7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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| DOI: | 10.1371/journal.pone.0261083 |