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The QDREC web server: determining dose-response characteristics of complex macroparasites in phenotypic drug screens.
Asarnow, Daniel; Rojo-Arreola, Liliana; Suzuki, Brian M; Caffrey, Conor R; Singh, Rahul.
Afiliación
  • Asarnow D; Department of Computer Science, San Francisco State University, San Francisco, CA, USA, Department of Pathology and Center for Discovery and Innovation in Parasitic Diseases, University of California, San Francisco, San Francisco, CA, USA.
  • Rojo-Arreola L; Department of Computer Science, San Francisco State University, San Francisco, CA, USA, Department of Pathology and Center for Discovery and Innovation in Parasitic Diseases, University of California, San Francisco, San Francisco, CA, USA.
  • Suzuki BM; Department of Computer Science, San Francisco State University, San Francisco, CA, USA, Department of Pathology and Center for Discovery and Innovation in Parasitic Diseases, University of California, San Francisco, San Francisco, CA, USA Department of Computer Science, San Francisco State Universit
  • Caffrey CR; Department of Computer Science, San Francisco State University, San Francisco, CA, USA, Department of Pathology and Center for Discovery and Innovation in Parasitic Diseases, University of California, San Francisco, San Francisco, CA, USA Department of Computer Science, San Francisco State Universit
  • Singh R; Department of Computer Science, San Francisco State University, San Francisco, CA, USA, Department of Pathology and Center for Discovery and Innovation in Parasitic Diseases, University of California, San Francisco, San Francisco, CA, USA Department of Computer Science, San Francisco State Universit
Bioinformatics ; 31(9): 1515-8, 2015 May 01.
Article en En | MEDLINE | ID: mdl-25540182
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Pruebas de Sensibilidad Parasitaria / Antihelmínticos Límite: Animals Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Pruebas de Sensibilidad Parasitaria / Antihelmínticos Límite: Animals Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos