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eUTOPIA: solUTion for Omics data PreprocessIng and Analysis.

Veer Singh Marwah1,2, Giovanni Scala1,2, Pia Anneli Sofia Kinaret1,2,3

  • 11Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland.

Source Code for Biology and Medicine
|February 8, 2019
PubMed
Summary
This summary is machine-generated.

eUTOPIA simplifies microarray data analysis for researchers. This R Shiny application provides an intuitive graphical interface for processing and interpreting omics data using advanced methods.

Keywords:
Gene expressionMicroarrayR shinyTranscriptomics analysis

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray technology enables simultaneous quantification of numerous biomolecules for omics studies.
  • Analyzing high-throughput omics data often requires specialized computational skills, posing a barrier for many researchers.
  • Existing R-based tools, while powerful, present a steep learning curve for non-expert users.

Purpose of the Study:

  • To develop an integrated and user-friendly software solution for processing and analyzing microarray data.
  • To provide an intuitive platform that simplifies complex omics data analysis workflows.
  • To enable researchers to easily visualize and interpret results from microarray experiments.

Main Methods:

  • Development of an integrated software solution named eUTOPIA.
  • Implementation of essential data processing steps as a guided workflow.
  • Creation of an R Shiny application to provide a graphical user interface.

Main Results:

  • eUTOPIA offers a guided workflow for essential microarray data processing and analysis.
  • The software is presented as an R Shiny application, ensuring accessibility.
  • The solution integrates state-of-the-art methods for omics data analysis.

Conclusions:

  • eUTOPIA empowers researchers by simplifying microarray data preprocessing and analysis.
  • The intuitive graphical interface facilitates the use of advanced analytical methods.
  • This solution enhances the accessibility of sophisticated omics data analysis for a broader research community.