eUTOPIA : solUTion for Omics data PreprocessIng and Analysis

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http://hdl.handle.net/10138/305066

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Marwah , V S , Scala , G , Kinaret , P A S , Serra , A , Alenius , H , Fortino , V & Greco , D 2019 , ' eUTOPIA : solUTion for Omics data PreprocessIng and Analysis ' , Source Code for Biology and Medicine , vol. 14 , 1 . https://doi.org/10.1186/s13029-019-0071-7

Titel: eUTOPIA : solUTion for Omics data PreprocessIng and Analysis
Författare: Marwah, Veer Singh; Scala, Giovanni; Kinaret, Pia Anneli Sofia; Serra, Angela; Alenius, Harri; Fortino, Vittorio; Greco, Dario
Medarbetare: University of Helsinki, Faculty of Medicine and Health Technology, Tampere University
University of Helsinki, Institute of Biotechnology
University of Helsinki, Department of Bacteriology and Immunology
University of Helsinki, University of Eastern Finland, Institute of Biomedicine
University of Helsinki, Institute of Biotechnology
Datum: 2019-01-29
Språk: eng
Sidantal: 12
Tillhör serie: Source Code for Biology and Medicine
ISSN: 1751-0473
Permanenta länken (URI): http://hdl.handle.net/10138/305066
Abstrakt: BackgroundApplication of microarrays in omics technologies enables quantification of many biomolecules simultaneously. It is widely applied to observe the positive or negative effect on biomolecule activity in perturbed versus the steady state by quantitative comparison. Community resources, such as Bioconductor and CRAN, host tools based on R language that have become standard for high-throughput analytics. However, application of these tools is technically challenging for generic users and require specific computational skills. There is a need for intuitive and easy-to-use platform to process omics data, visualize, and interpret results.ResultsWe propose an integrated software solution, eUTOPIA, that implements a set of essential processing steps as a guided workflow presented to the user as an R Shiny application.ConclusionseUTOPIA allows researchers to perform preprocessing and analysis of microarray data via a simple and intuitive graphical interface while using state of the art methods.
Subject: 1182 Biochemistry, cell and molecular biology
113 Computer and information sciences
Transcriptomics analysis
Microarray
Gene expression
R shiny
PACKAGE
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