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bTSSfinder: a novel tool for the prediction of promoters in cyanobacteria and Escherichia coli.
Shahmuradov, Ilham Ayub; Mohamad Razali, Rozaimi; Bougouffa, Salim; Radovanovic, Aleksandar; Bajic, Vladimir B.
Afiliação
  • Shahmuradov IA; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), 4700 King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
  • Mohamad Razali R; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), 4700 King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
  • Bougouffa S; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), 4700 King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
  • Radovanovic A; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), 4700 King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
  • Bajic VB; Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), 4700 King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia.
Bioinformatics ; 33(3): 334-340, 2017 02 01.
Article em En | MEDLINE | ID: mdl-27694198

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Regiões Promotoras Genéticas / Cianobactérias / Sítio de Iniciação de Transcrição / Escherichia coli Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Regiões Promotoras Genéticas / Cianobactérias / Sítio de Iniciação de Transcrição / Escherichia coli Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article