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RNAStructuromeDB: A genome-wide database for RNA structural inference.
Andrews, Ryan J; Baber, Levi; Moss, Walter N.
Afiliación
  • Andrews RJ; Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, 2437 Pammel Drive, Ames, IA, 50011, USA.
  • Baber L; Biology Information Technology, Iowa State University, 2310 Pammel Drive, Ames, IA, 50011, USA.
  • Moss WN; Roy J. Carver Department of Biochemistry, Biophysics, and Molecular Biology, Iowa State University, 2437 Pammel Drive, Ames, IA, 50011, USA. wmoss@iastate.edu.
Sci Rep ; 7(1): 17269, 2017 12 08.
Article en En | MEDLINE | ID: mdl-29222504
ABSTRACT
RNA plays important roles in almost every aspect of biology, and every aspect of RNA biology is influenced by its folding. This is a particularly important consideration in the era of high-throughput sequencing, when the discovery of novel transcripts far outpaces our knowledge of their functions. To gain a comprehensive picture of biology requires a structural framework for making functional inferences on RNA. To this end we have developed the RNA Structurome Database ( https//structurome.bb.iastate.edu ), a comprehensive repository of RNA secondary structural information that spans the entire human genome. Here, we compile folding information for every base pair of the genome that may be transcribed coding, noncoding, and intergenic regions, as well as repetitive elements, telomeres, etc. This was done by fragmenting the GRCh38 reference genome into 154,414,320 overlapping sequence fragments and, for each fragment, calculating a set of metrics based on the sequence's folding properties. These data will facilitate a wide array of investigations e.g. discovery of structured regulatory elements in differential gene expression data or noncoding RNA discovery, as well as allow genome-scale analyses of RNA folding.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Genómica / Bases de Datos Genéticas Límite: Humans Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Genómica / Bases de Datos Genéticas Límite: Humans Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos