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Strategies to improve usability and preserve accuracy in biological sequence databases.
Bengtsson-Palme, Johan; Boulund, Fredrik; Edström, Robert; Feizi, Amir; Johnning, Anna; Jonsson, Viktor A; Karlsson, Fredrik H; Pal, Chandan; Pereira, Mariana Buongermino; Rehammar, Anna; Sanchez, José; Sanli, Kemal; Thorell, Kaisa.
Afiliação
  • Bengtsson-Palme J; Department of Infectious Diseases, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. johan.bengtsson-palme@microbiology.se.
  • Boulund F; Centre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden. johan.bengtsson-palme@microbiology.se.
  • Edström R; Centre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
  • Feizi A; Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
  • Johnning A; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
  • Jonsson VA; Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
  • Karlsson FH; Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Pal C; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Pereira MB; Centre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
  • Rehammar A; Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
  • Sanchez J; Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
  • Sanli K; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Thorell K; Department of Infectious Diseases, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Proteomics ; 16(18): 2454-60, 2016 09.
Article em En | MEDLINE | ID: mdl-27528420
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Bases de Dados de Proteínas Idioma: En Revista: Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Suécia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Bases de Dados de Proteínas Idioma: En Revista: Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Suécia