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Computational Analysis of LncRNA from cDNA Sequences.
Boerner, Susan; McGinnis, Karen M.
Afiliação
  • Boerner S; Department of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL, 32306-4295, USA.
  • McGinnis KM; Department of Biological Science, Florida State University, 319 Stadium Drive, Tallahassee, FL, 32306-4295, USA. mcginnis@bio.fsu.edu.
Methods Mol Biol ; 1402: 255-269, 2016.
Article em En | MEDLINE | ID: mdl-26721497
Based on recent findings, long noncoding (lnc) RNAs represent a potential class of functional molecules within the cell. In this chapter we describe a computational scheme to identify and classify lncRNAs within maize from full-length cDNA sequences to designate subsets of lncRNAs for which biogenesis and regulatory mechanisms may be verified at the bench. We make use of the Coding Potential Calculator and specific Python scripts in our approach.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Complementar / RNA de Plantas / Zea mays / Genômica / RNA Longo não Codificante Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA Complementar / RNA de Plantas / Zea mays / Genômica / RNA Longo não Codificante Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article