title: GGtools: analysis of genetics of gene expression in bioconductor.
abstract: This paper reviews the central concepts and implementation of data structures and methods for studying genetics of gene expression with the GGtools package of Bioconductor. Illustration with a HapMap+expression dataset is provided.
  
  
  BACKGROUND
  Package GGtools is part of Bioconductor 1.9 (http://bioconductor.org). Open source with Artistic License.
authors.affiliation: Channing Laboratory, Brigham and Women's Hospital, 75 Francis Street, Boston 02115, USA. stvjc@channing.harvard.edu
authors.forename: Vincent J
authors.initials: VJ
authors.lastname: Carey
authors.forename: Martin
authors.initials: M
authors.lastname: Morgan
authors.forename: Seth
authors.initials: S
authors.lastname: Falcon
authors.forename: Ross
authors.initials: R
authors.lastname: Lazarus
authors.forename: Robert
authors.initials: R
authors.lastname: Gentleman
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D004252:DNA Mutational Analysis / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D014644:Genetic Variation / Q000235:genetics*; D005828:Genetics, Population; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics; D012984:Software; D012985:Software Design; D014584:User-Computer Interface