Liquid-chromatography retention order prediction for metabolite identification-Reference-Cited by-同舟云学术

Liquid-chromatography retention order prediction for metabolite identification

Published:2018-09-01 Issue:17 Volume:34 Page:i875-i883
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Bach Eric¹,Szedmak Sandor¹,Brouard Céline¹,Böcker Sebastian²,Rousu Juho¹

Affiliation:

1. Department of Computer Science, Helsinki Institute for Information Technology HIIT, Aalto University, Espoo, Finland

2. Department for Computer Science, Chair for Bioinformatics, Friedrich-Schiller-University, Jena, Germany

Funder

Academy of Finland

MIDAS

Aalto Science-IT infrastructure

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/17/i875/25702364/bty590.pdf

Reference33 articles.

1. Retention time prediction improves identification in nontargeted lipidomics approaches;Aicheler;Anal. Chem.,2015

2. Global chemical analysis of biology by mass spectrometry;Aksenov;Nat. Rev. Chem.,2017

3. CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra;Allen;Nucleic Acids Res.,2014

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