P-BOSS: A new filtering method for treasure hunting in metabolomics

Mineo Morohashi, Kaori Shimizu, Yoshiaki Ohashi, Junji Abe, Hirotada Mori, Masaru Tomita, Tomoyoshi Soga

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


Metabolomics is expected to boost data driven research. In biomarker discovery, powerful filtering methods to remove noise and outliers are essential for screening significant candidates from the huge volume of omic data. Here we propose a post-measurement peak filtering method (named P-BOSS) for CE electrospray ionization-time-of-flight MS (CE-TOFMS) data. Combining outlier detection method functions in parallel, we applied P-BOSS to the data using Escherichia coli knockout mutants of the tryptophan and purine biosynthesis pathways. As the result, P-BOSS showed remarkably superior performance, reducing 65% of all peaks, while leaving significant peaks.

Original languageEnglish
Pages (from-to)142-148
Number of pages7
JournalJournal of Chromatography A
Issue number1-2
Publication statusPublished - 2007 Aug 3


  • AIC
  • Biomarker
  • CE-MS
  • Metabolome

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Organic Chemistry


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