title: rMSI: an R package for MS imaging data handling and visualization.
abstract: CONCLUSIONS
  R platform provides some packages that are useful to process mass spectrometry imaging (MSI) data; however, none of them provide an easy to use graphical user interface (GUI). Here, we introduce rMSI, an R package for MSI data analysis focused on providing an efficient way to manage MSI data together with a GUI integrated in R environment. MS data is loaded in rMSI custom format optimized to minimize the memory footprint yet maintaining a fast spectra access. The rMSI GUI is designed for simple and effective data exploration and visualization. Moreover, rMSI is designed to be integrated in the R environment through a library of functions that can be used to share MS data across others R packages. The release of rMSI for R environment establishes a novel and flexible platform for MSI data analysis, completely free and open-source.
  
  
  METHODS
  The code, the documentation, a tutorial and example data are available open-source at: github.com/prafols/rMSI.
  
  
  BACKGROUND
  jesus.brezmes@urv.cat.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Pere
authors.initials: P
authors.lastname: Ràfols
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Sònia
authors.initials: S
authors.lastname: Torres
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Noelia
authors.initials: N
authors.lastname: Ramírez
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.
authors.forename: Esteban
authors.initials: E
authors.lastname: Del Castillo
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Oscar
authors.initials: O
authors.lastname: Yanes
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Jesús
authors.initials: J
authors.lastname: Brezmes
authors.affiliation: Department of Electronic Engineering, Rovira i Virgili University, IISPV, Tarragona 43007, Spain.|Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid 28029, Spain.
authors.forename: Xavier
authors.initials: X
authors.lastname: Correig
mesh_terms: D000818:Animals; D001921:Brain / Q000378:metabolism; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D051379:Mice; D012984:Software