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Computational modeling of immune system of the fish for a more effective vaccination in aquaculture.
Madonia, Alice; Melchiorri, Cristiano; Bonamano, Simone; Marcelli, Marco; Bulfon, Chiara; Castiglione, Filippo; Galeotti, Marco; Volpatti, Donatella; Mosca, Francesco; Tiscar, Pietro-Giorgio; Romano, Nicla.
Afiliação
  • Madonia A; Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy.
  • Melchiorri C; Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy.
  • Bonamano S; Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy.
  • Marcelli M; Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy.
  • Bulfon C; Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), Section of Animal and Veterinary Sciences, University of Udine, 33100, Italy.
  • Castiglione F; Faculty of Veterinary Medicine, University of Teramo, Italy.
  • Galeotti M; Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), Section of Animal and Veterinary Sciences, University of Udine, 33100, Italy.
  • Volpatti D; Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), Section of Animal and Veterinary Sciences, University of Udine, 33100, Italy.
  • Mosca F; Institute of Applied Computing "M.Picone", CNR, 00185, Rome, Italy.
  • Tiscar PG; Institute of Applied Computing "M.Picone", CNR, 00185, Rome, Italy.
  • Romano N; Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy.
Bioinformatics ; 33(19): 3065-3071, 2017 Oct 01.
Article em En | MEDLINE | ID: mdl-28549079
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bass / Aquicultura / Doenças dos Peixes Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bass / Aquicultura / Doenças dos Peixes Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Itália