henhaobio
Sign in

Source Code for Biology and MedicineBioinformaticsPeer-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

PDFDOIPreprintCode

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.

Citations
48
FWCI
2.24
Field percentile
top 11%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGao '21Singh '20Gao '24Tien '25Han '25Fisch '15
64% semantic matchBioinformatics
Benbo Gao, Jing Zhu, Soumya Negi+5 more·Bioinformatics·Apr 19, 2021· 18 citations