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eUTOPIA: solUTion for Omics data PreprocessIng and Analysis
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352382/ https://www.ncbi.nlm.nih.gov/pubmed/30728855 http://dx.doi.org/10.1186/s13029-019-0071-7 |
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author | Marwah, Veer Singh Scala, Giovanni Kinaret, Pia Anneli Sofia Serra, Angela Alenius, Harri Fortino, Vittorio Greco, Dario |
author_facet | Marwah, Veer Singh Scala, Giovanni Kinaret, Pia Anneli Sofia Serra, Angela Alenius, Harri Fortino, Vittorio Greco, Dario |
author_sort | Marwah, Veer Singh |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13029-019-0071-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6352382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63523822019-02-06 eUTOPIA: solUTion for Omics data PreprocessIng and Analysis Marwah, Veer Singh Scala, Giovanni Kinaret, Pia Anneli Sofia Serra, Angela Alenius, Harri Fortino, Vittorio Greco, Dario Source Code Biol Med Software 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13029-019-0071-7) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-29 /pmc/articles/PMC6352382/ /pubmed/30728855 http://dx.doi.org/10.1186/s13029-019-0071-7 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Marwah, Veer Singh Scala, Giovanni Kinaret, Pia Anneli Sofia Serra, Angela Alenius, Harri Fortino, Vittorio Greco, Dario eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title | eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title_full | eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title_fullStr | eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title_full_unstemmed | eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title_short | eUTOPIA: solUTion for Omics data PreprocessIng and Analysis |
title_sort | eutopia: solution for omics data preprocessing and analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352382/ https://www.ncbi.nlm.nih.gov/pubmed/30728855 http://dx.doi.org/10.1186/s13029-019-0071-7 |
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