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ChemDistiller: an engine for metabolite annotation in mass spectrometry
Author(s) -
Ivan Laponogov,
Noureddin Sadawi,
Dieter Galea,
Reza Mirnezami,
Kirill Veselkov
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty080
Subject(s) - computer science , annotation , scalability , software , tandem mass spectrometry , field (mathematics) , source code , data mining , database , mass spectrometry , chemistry , operating system , artificial intelligence , chromatography , mathematics , pure mathematics
High-resolution mass spectrometry permits simultaneous detection of thousands of different metabolites in biological samples; however, their automated annotation still presents a challenge due to the limited number of tailored computational solutions freely available to the scientific community.

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