title: Genomic Annotation Resources in R/Bioconductor.
abstract: Annotation resources make up a significant proportion of the Bioconductor project (Huber et al., Nat Methods 12:115-121, 2015). And there are also a diverse set of online resources available which are accessed using specific packages. Here we describe the most popular of these resources and give some high level examples on how to use them.
authors.affiliation: Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. marc.carlson@seattlechildrens.org.|Seattle Children's Research Institute, 1900 West 9th Avenue, JMB-618, Seattle, WA, 98101, USA. marc.carlson@seattlechildrens.org.
authors.forename: Marc R J
authors.initials: MR
authors.lastname: Carlson
authors.affiliation: Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
authors.forename: Hervé
authors.initials: H
authors.lastname: Pagès
authors.affiliation: Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
authors.forename: Sonali
authors.initials: S
authors.lastname: Arora
authors.affiliation: Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
authors.forename: Valerie
authors.initials: V
authors.lastname: Obenchain
authors.affiliation: Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
authors.forename: Martin
authors.initials: M
authors.lastname: Morgan
mesh_terms: D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods*; D058977:Molecular Sequence Annotation / Q000379:methods*; D012984:Software
keywords: Annotation; Bioconductor; Genomics; Next-generation sequencing; R