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Genomic Annotation Resources in R/Bioconductor.
Carlson, Marc R J; Pagès, Hervé; Arora, Sonali; Obenchain, Valerie; Morgan, Martin.
Afiliação
  • Carlson MR; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. marc.carlson@seattlechildrens.org.
  • Pagès H; Seattle Children's Research Institute, 1900 West 9th Avenue, JMB-618, Seattle, WA, 98101, USA. marc.carlson@seattlechildrens.org.
  • Arora S; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Obenchain V; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  • Morgan M; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Methods Mol Biol ; 1418: 67-90, 2016.
Article em En | MEDLINE | ID: mdl-27008010
ABSTRACT
Annotation resources make up a significant proportion of the Bioconductor project (Huber et al., Nat Methods 12115-121, 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Genômica / Anotação de Sequência Molecular Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Genômica / Anotação de Sequência Molecular Idioma: En Ano de publicação: 2016 Tipo de documento: Article