title: LocusExplorer: a user-friendly tool for integrated visualization of human genetic association data and biological annotations.
abstract: : In this article, we present LocusExplorer, a data visualization and exploration tool for genetic association data. LocusExplorer is written in R using the Shiny library, providing access to powerful R-based functions through a simple user interface. LocusExplorer allows users to simultaneously display genetic, statistical and biological data for humans in a single image and allows dynamic zooming and customization of the plot features. Publication quality plots may then be produced in a variety of file formats.
  
  
  
  LocusExplorer is open source and runs through R and a web browser. It is available at www.oncogenetics.icr.ac.uk/LocusExplorer/ or can be installed locally and the source code accessed from https://github.com/oncogenetics/LocusExplorer
  
  
  
  tokhir.dadaev@icr.ac.uk.
authors.affiliation: The Institute of Cancer Research, London, UK and.
authors.forename: Tokhir
authors.initials: T
authors.lastname: Dadaev
authors.affiliation: The Institute of Cancer Research, London, UK and.
authors.forename: Daniel A
authors.initials: DA
authors.lastname: Leongamornlert
authors.affiliation: The Institute of Cancer Research, London, UK and.
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Saunders
authors.affiliation: The Institute of Cancer Research, London, UK and Royal Marsden NHS Foundation Trust, London, UK.
authors.forename: Rosalind
authors.initials: R
authors.lastname: Eeles
authors.affiliation: The Institute of Cancer Research, London, UK and.
authors.forename: Zsofia
authors.initials: Z
authors.lastname: Kote-Jarai
mesh_terms: D005826:Genetics, Medical; D006801:Humans; D011381:Programming Languages; D012984:Software; D064878:Web Browser