Your browser doesn't support javascript.
loading
Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices.
Stanford, Natalie J; Scharm, Martin; Dobson, Paul D; Golebiewski, Martin; Hucka, Michael; Kothamachu, Varun B; Nickerson, David; Owen, Stuart; Pahle, Jürgen; Wittig, Ulrike; Waltemath, Dagmar; Goble, Carole; Mendes, Pedro; Snoep, Jacky.
Afiliação
  • Stanford NJ; School of Computer Science, University of Manchester, Manchester, UK.
  • Scharm M; Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.
  • Dobson PD; School of Computer Science, University of Manchester, Manchester, UK.
  • Golebiewski M; Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany.
  • Hucka M; Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, USA.
  • Kothamachu VB; Signalling ISP, The Babraham Institute, Cambridge, UK.
  • Nickerson D; Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
  • Owen S; School of Computer Science, University of Manchester, Manchester, UK.
  • Pahle J; BIOMS/BioQuant, Heidelberg University, Heidelberg, Germany. juergen.pahle@bioquant.uni-heidelberg.de.
  • Wittig U; Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany.
  • Waltemath D; Medical Informatics, University Medicine Greifswald, Greifswald, Germany.
  • Goble C; School of Computer Science, University of Manchester, Manchester, UK.
  • Mendes P; Centre for Quantitative Medicine, University of Connecticut, Farmington, CT, USA.
  • Snoep J; School of Computer Science, University of Manchester, Manchester, UK.
Methods Mol Biol ; 2049: 285-314, 2019.
Article em En | MEDLINE | ID: mdl-31602618
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia de Sistemas / Gerenciamento de Dados Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia de Sistemas / Gerenciamento de Dados Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Methods Mol Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido