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Predicting the Presence of Uncommon Elements in Unknown Biomolecules from Isotope Patterns.
Meusel, Marvin; Hufsky, Franziska; Panter, Fabian; Krug, Daniel; Müller, Rolf; Böcker, Sebastian.
Afiliação
  • Meusel M; Chair for Bioinformatics, Friedrich Schiller University Jena , 07743 Jena, Germany.
  • Hufsky F; Chair for Bioinformatics, Friedrich Schiller University Jena , 07743 Jena, Germany.
  • Panter F; RNA Bioinformatics and High Throughput Analysis, Friedrich Schiller University Jena , 07743 Jena, Germany.
  • Krug D; Department of Microbial Natural Products, Helmholtz-Institute for Pharmaceutical Research Saarland, Helmholtz Centre for Infection Research and Pharmaceutical Biotechnology, Saarland University , 66123 Saarbrücken, Germany.
  • Müller R; Department of Microbial Natural Products, Helmholtz-Institute for Pharmaceutical Research Saarland, Helmholtz Centre for Infection Research and Pharmaceutical Biotechnology, Saarland University , 66123 Saarbrücken, Germany.
  • Böcker S; Department of Microbial Natural Products, Helmholtz-Institute for Pharmaceutical Research Saarland, Helmholtz Centre for Infection Research and Pharmaceutical Biotechnology, Saarland University , 66123 Saarbrücken, Germany.
Anal Chem ; 88(15): 7556-66, 2016 08 02.
Article em En | MEDLINE | ID: mdl-27398867

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Elementos Químicos / Fenômenos Químicos / Aprendizado de Máquina / Isótopos Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Elementos Químicos / Fenômenos Químicos / Aprendizado de Máquina / Isótopos Idioma: En Ano de publicação: 2016 Tipo de documento: Article