eUTOPIA : solUTion for Omics data PreprocessIng and Analysis

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http://hdl.handle.net/10138/305066

Lähdeviite

Marwah , V S , Scala , G , Kinaret , P A S , Serra , A , Alenius , H , Fortino , V & Greco , D 2019 , ' eUTOPIA : solUTion for Omics data PreprocessIng and Analysis ' , Source Code for Biology and Medicine , vol. 14 , 1 . https://doi.org/10.1186/s13029-019-0071-7

Julkaisun nimi: eUTOPIA : solUTion for Omics data PreprocessIng and Analysis
Tekijä: Marwah, Veer Singh; Scala, Giovanni; Kinaret, Pia Anneli Sofia; Serra, Angela; Alenius, Harri; Fortino, Vittorio; Greco, Dario
Tekijän organisaatio: Institute of Biotechnology
Department of Bacteriology and Immunology
HUMI - Human Microbiome Research
Research Programs Unit
University Management
Päiväys: 2019-01-29
Kieli: eng
Sivumäärä: 12
Kuuluu julkaisusarjaan: Source Code for Biology and Medicine
ISSN: 1751-0473
DOI-tunniste: https://doi.org/10.1186/s13029-019-0071-7
URI: http://hdl.handle.net/10138/305066
Tiivistelmä: BackgroundApplication 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.ResultsWe 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.ConclusionseUTOPIA allows researchers to perform preprocessing and analysis of microarray data via a simple and intuitive graphical interface while using state of the art methods.
Avainsanat: 1182 Biochemistry, cell and molecular biology
113 Computer and information sciences
Transcriptomics analysis
Microarray
Gene expression
R shiny
PACKAGE
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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