Hernandez-Ferrer, Carles, 1987-Ruiz-Arenas, CarlosBeltran-Gomila, AlbaGonzález Ruiz, Juan Ramón2018-06-272018-06-272017Hernandez-Ferrer C, Ruiz-Arenas C, Beltran-Gomila A, González JR. MultiDataSet: an R package for encapsulating multiple data sets with application to omic data integration. BMC Bioinformatics. 2017 Jan 17; 18(1): 36. DOI: 10.1186/s12859-016-1455-11471-2105http://hdl.handle.net/10230/34978BACKGROUND: Reduction in the cost of genomic assays has generated large amounts of biomedical-related data. As a result, current studies perform multiple experiments in the same subjects. While Bioconductor's methods and classes implemented in different packages manage individual experiments, there is not a standard class to properly manage different omic datasets from the same subjects. In addition, most R/Bioconductor packages that have been designed to integrate and visualize biological data often use basic data structures with no clear general methods, such as subsetting or selecting samples. RESULTS: To cover this need, we have developed MultiDataSet, a new R class based on Bioconductor standards, designed to encapsulate multiple data sets. MultiDataSet deals with the usual difficulties of managing multiple and non-complete data sets while offering a simple and general way of subsetting features and selecting samples. We illustrate the use of MultiDataSet in three common situations: 1) performing integration analysis with third party packages; 2) creating new methods and functions for omic data integration; 3) encapsulating new unimplemented data from any biological experiment.CONCLUSIONS: MultiDataSet is a suitable class for data integration under R and Bioconductor framework.application/pdfeng© Carles Hernandez-Ferrer, Carlos Ruiz-Arenas, Alba Beltran-Gomila, Juan R. González. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)GenòmicaProgramariMultiDataSet: an R package for encapsulating multiple data sets with application to omic data integrationinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1186/s12859-016-1455-1info:eu-repo/semantics/openAccess