eUTOPIA: solUTion for Omics data PreprocessIng and Analysis

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.