Your browser doesn't support javascript.
loading
A novel method for improved accuracy of transcription factor binding site prediction.
Khamis, Abdullah M; Motwalli, Olaa; Oliva, Romina; Jankovic, Boris R; Medvedeva, Yulia A; Ashoor, Haitham; Essack, Magbubah; Gao, Xin; Bajic, Vladimir B.
Afiliação
  • Khamis AM; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Motwalli O; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Oliva R; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Jankovic BR; Department of Sciences and Technologies, University 'Parthenope' of Naples, Centro Direzionale Isola C4 80143, Naples, Italy.
  • Medvedeva YA; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Ashoor H; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal 23955-6900, Saudi Arabia.
  • Essack M; Institute of Bioengineering, Research Centre of Biotechnology, Russian Academy of Science, 117312 Moscow, Russia.
  • Gao X; Department of Computational Biology, Vavilov Institute of General Genetics, Russian Academy of Science, 119991 Moscow, Russia.
  • Bajic VB; Department of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141701, Dolgoprudny, Moscow Region, Russia.
Nucleic Acids Res ; 46(12): e72, 2018 07 06.
Article em En | MEDLINE | ID: mdl-29617876
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Análise de Sequência de DNA Tipo de estudo: Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Arábia Saudita
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Análise de Sequência de DNA Tipo de estudo: Evaluation_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Arábia Saudita