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BioinformaticsSource Code for Biology and Medicine
Peer-reviewed journal article

eUTOPIA: Solution for omics data preprocessing and analysis

Veer Singh MarwahiD, Giovanni ScalaiD, Pia KinaretiD, Angela SerraiD, Harri Tapio AleniusiD, Vittorio FortinoiD, Dario GrecoiD

Abstract

Application 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 that have become standard for high-throughput analytics. However, there is a need for intuitive and easy-to-use platform to process omics data, visualize, and interpret results, which is computational skill neutral. We 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. eUTOPIA allows researchers to perform preprocessing and analysis of microarray data via a simple and intuitive graphical interface while using state of the art methods. eUTOPIA is free for academic use and can be obtained from the GitHub repository https://github.com/Greco-Lab/eUTOPIA.

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