eUTOPIA: solUTion for Omics data PreprocessIng and Analysis.

Q2 Decision Sciences
Source Code for Biology and Medicine Pub Date : 2019-01-29 eCollection Date: 2019-01-01 DOI:10.1186/s13029-019-0071-7
Veer Singh Marwah, Giovanni Scala, Pia Anneli Sofia Kinaret, Angela Serra, Harri Alenius, Vittorio Fortino, Dario Greco
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引用次数: 0

Abstract

Background: 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.

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.

Conclusions: 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.

Abstract Image

Abstract Image

Abstract Image

eUTOPIA:Omics 数据预处理和分析解决方案。
背景:微阵列在全息技术中的应用可同时量化多种生物分子。它被广泛应用于通过定量比较来观察扰动状态与稳定状态对生物大分子活性的积极或消极影响。Bioconductor 和 CRAN 等社区资源中包含基于 R 语言的工具,这些工具已成为高通量分析的标准。然而,这些工具的应用对普通用户来说具有技术挑战性,需要特定的计算技能。我们需要一个直观易用的平台来处理 omics 数据、可视化和解释结果:结论:eUTOPIA 允许研究人员通过简单直观的图形界面对微阵列数据进行预处理和分析,同时使用最先进的方法。
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来源期刊
Source Code for Biology and Medicine
Source Code for Biology and Medicine Decision Sciences-Information Systems and Management
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期刊介绍: Source Code for Biology and Medicine is a peer-reviewed open access, online journal that publishes articles on source code employed over a wide range of applications in biology and medicine. The journal"s aim is to publish source code for distribution and use in the public domain in order to advance biological and medical research. Through this dissemination, it may be possible to shorten the time required for solving certain computational problems for which there is limited source code availability or resources.
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