Your browser doesn't support javascript.
loading
Data-driven identification of inherent features of eukaryotic stress-responsive genes.
Latorre, Pablo; Böttcher, René; Nadal-Ribelles, Mariona; Li, Constance H; Solé, Carme; Martínez-Cebrián, Gerard; Boutros, Paul C; Posas, Francesc; de Nadal, Eulàlia.
Afiliação
  • Latorre P; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Böttcher R; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Nadal-Ribelles M; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Li CH; Departments of Human Genetics and Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Solé C; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Martínez-Cebrián G; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Boutros PC; Departments of Human Genetics and Urology, Jonsson Comprehensive Cancer Center and Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Posas F; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
  • de Nadal E; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.
NAR Genom Bioinform ; 4(1): lqac018, 2022 Mar.
Article em En | MEDLINE | ID: mdl-35265837
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article