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Pipeline for Analyzing Activity of Metabolic Pathways in Planktonic Communities Using Metatranscriptomic Data.
Rondel, Filipp Martin; Hosseini, Roya; Sahoo, Bikram; Knyazev, Sergey; Mandric, Igor; Stewart, Frank; Mandoiu, Ion I; Pasaniuc, Bogdan; Porozov, Yuri; Zelikovsky, Alexander.
Afiliação
  • Rondel FM; Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
  • Hosseini R; Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
  • Sahoo B; Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
  • Knyazev S; Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
  • Mandric I; Department of Computer Science, Georgia State University, Atlanta, Georgia, USA.
  • Stewart F; Department of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
  • Mandoiu II; Computer Science & Engineering Department, University of Connecticut, Storrs, Connecticut, USA.
  • Pasaniuc B; Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Porozov Y; World-Class Research Center "Digital biodesign and personalized healthcare," I.M. Sechenov First Moscow State Medical University, Moscow, Russia.
  • Zelikovsky A; Department of Computational Biology, Sirius University of Science and Technology, Sochi, Russia.
J Comput Biol ; 28(8): 842-855, 2021 08.
Article em En | MEDLINE | ID: mdl-34264744
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plâncton / Bactérias / Perfilação da Expressão Gênica / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plâncton / Bactérias / Perfilação da Expressão Gênica / Redes e Vias Metabólicas Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article