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Mixed-Data Acquisition: Next-Generation Quantitative Proteomics Data Acquisition.
Santos, Marlon D M; Camillo-Andrade, Amanda Caroline; Kurt, Louise U; Clasen, Milan A; Lyra, Eduardo; Gozzo, Fabio C; Batista, Michel; Valente, Richard H; Brunoro, Giselle V F; Barbosa, Valmir C; Fischer, Juliana S G; Carvalho, Paulo C.
  • Santos MDM; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil. Electronic address: marlondms@gmail.com.
  • Camillo-Andrade AC; Master Program in Industrial Biotechnology, Positivo University, Curitiba, Paraná, Brazil.
  • Kurt LU; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil.
  • Clasen MA; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil.
  • Lyra E; Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil.
  • Gozzo FC; Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil.
  • Batista M; Mass Spectrometry Facility RPT02H, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil.
  • Valente RH; Laboratory of Toxinology, Oswaldo Cruz Institute - Fiocruz, Rio de Janeiro, Brazil.
  • Brunoro GVF; Centre of Excellence in New Target Discovery, Butantan Institute, São Paulo, Brazil.
  • Barbosa VC; Systems Engineering and Computer Science Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
  • Fischer JSG; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil.
  • Carvalho PC; Laboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Fiocruz, Curitiba, Paraná, Brazil. Electronic address: paulo@pcarvalho.com.
J Proteomics ; 222: 103803, 2020 06 30.
Article en En | MEDLINE | ID: mdl-32387712
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Proteómica Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteoma / Proteómica Idioma: En Año: 2020 Tipo del documento: Article