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Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.
Negri, Tatianne da Costa; Alves, Wonder Alexandre Luz; Bugatti, Pedro Henrique; Saito, Priscila Tiemi Maeda; Domingues, Douglas Silva; Paschoal, Alexandre Rossi.
Afiliación
  • Negri TDC; Department of Computer Science, Bioinformatics Graduate Program (PPGBIOINFO), Federal University of Technology - Paraná, UTFPR, Campus Cornélio, Procópio, Brazil and Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil.
  • Alves WAL; Informatics and Knowledge Management Graduate Program, Universidade Nove de Julho, São Paulo, Brazil.
  • Bugatti PH; Department of Computer Science, Bioinformatics Graduate Program (PPGBIOINFO), Federal University of Technology - Paraná, UTFPR, Campus Cornélio, Procópio, Brazil.
  • Saito PTM; Department of Computer Science, Bioinformatics Graduate Program (PPGBIOINFO), Federal University of Technology - Paraná, UTFPR, Campus Cornélio, Procópio, Brazil.
  • Domingues DS; Department of Computer Science, Bioinformatics Graduate Program (PPGBIOINFO), Federal University of Technology - Paraná, UTFPR, Campus Cornélio, Procópio, Brazil and Department of Botany, Institute of Biosciences, São Paulo State University, UNESP, Rio Claro, SP, Brazil.
  • Paschoal AR; Department of Computer Science, Bioinformatics Graduate Program (PPGBIOINFO), Federal University of Technology - Paraná, UTFPR, Campus Cornélio, Procópio, Brazil.
Brief Bioinform ; 20(2): 682-689, 2019 03 25.
Article en En | MEDLINE | ID: mdl-29697740

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / ARN de Planta / Biología Computacional / ARN Largo no Codificante Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Plantas / ARN de Planta / Biología Computacional / ARN Largo no Codificante Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Brasil