Your browser doesn't support javascript.
loading
Deciphering ENCODE.
Diehl, Adam G; Boyle, Alan P.
Afiliação
  • Diehl AG; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
  • Boyle AP; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor MI 48109, USA. Electronic address: apboyle@umich.edu.
Trends Genet ; 32(4): 238-249, 2016 Apr.
Article em En | MEDLINE | ID: mdl-26962025
ABSTRACT
The ENCODE project represents a major leap from merely describing and comparing genomic sequences to surveying them for direct indicators of function. The astounding quantity of data produced by the ENCODE consortium can serve as a map to locate specific landmarks, guide hypothesis generation, and lead us to principles and mechanisms underlying genome biology. Despite its broad appeal, the size and complexity of the repository can be intimidating to prospective users. We present here some background about the ENCODE data, survey the resources available for accessing them, and describe a few simple principles to help prospective users choose the data type(s) that best suit their needs, where to get them, and how to use them to their best advantage.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article