MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics | Zendy

Gengbo Chen | Zendy; Cui Liang | Zendy; Guo Shou Teo | Zendy; Choon Nam Ong | Zendy; Chuen Seng Tan | Zendy; Hyungwon Choi | Zendy

Open Access

MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics

Author(s) -

Gengbo Chen,

Cui Liang,

Guo Shou Teo,

Choon Nam Ong,

Chuen Seng Tan,

Hyungwon Choi

Publication year - 2015

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/btv434

Subject(s) - normalization (sociology) , computer science , preprocessor , data mining , software , pattern recognition (psychology) , algorithm , artificial intelligence , sociology , anthropology , programming language

Accurate cross-sample peak alignment and reliable intensity normalization is a critical step for robust quantitative analysis in untargetted metabolomics since tandem mass spectrometry (MS/MS) is rarely used for compound identification. Therefore shortcomings in the data processing steps can easily introduce false positives due to misalignments and erroneous normalization adjustments in large sample studies.

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