Marwah Veer Singh, Scala Giovanni, Kinaret Pia Anneli Sofia, Serra Angela, Alenius Harri, Fortino Vittorio, Greco Dario
1Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland.
Institute of Biosciences and Medical Technologies (BioMediTech), 33520 Tampere, Finland.
Source Code Biol Med. 2019 Jan 29;14:1. doi: 10.1186/s13029-019-0071-7. eCollection 2019.
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 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.
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.
微阵列在组学技术中的应用能够同时对多种生物分子进行定量分析。通过定量比较，它被广泛用于观察在扰动状态与稳态下对生物分子活性的正向或负向影响。诸如生物导体（Bioconductor）和综合R存档网络（CRAN）等社区资源拥有基于R语言的工具，这些工具已成为高通量分析的标准。然而，对于普通用户而言，这些工具的应用在技术上具有挑战性，并且需要特定的计算技能。因此，需要一个直观且易于使用的平台来处理组学数据、可视化并解释结果。
我们提出了一种集成软件解决方案eUTOPIA，它将一组基本处理步骤实现为一个引导式工作流程，并作为一个R Shiny应用程序呈现给用户。
eUTOPIA允许研究人员通过简单直观的图形界面，同时使用先进方法对微阵列数据进行预处理和分析。
