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peakANOVA specifications


Unique identifier OMICS_13645
Name peakANOVA
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes




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  • person_outline Samuel Kaski <>

Publication for peakANOVA

peakANOVA citations


From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics

PMCID: 5499862
PMID: 28520864
DOI: 10.1093/gigascience/gix037

[…] (kmmda) [] and metabomxtr [], which deal with the troublesome issue of missing metabolite values, the former through a kernel-based score test and the latter through mixed-model analysis. similarly, peakanova [] identifies peaks that are likely to be associated with 1 compound and uses them to improve accuracy of quantification, a particularly useful approach for experiments with limited sample […]


Stronger findings for metabolomics through Bayesian modeling of multiple peaks and compound correlations

PMCID: 4147908
PMID: 25161234
DOI: 10.1093/bioinformatics/btu455

[…] with three simulated studies and validate it with a metabolomic benchmark dataset., availability and implementation: an implementation in r is available at, contact: [email protected], changes in metabolite concentrations provide insights into disturbances in biological processes that take place in organisms. changes in the metabolome […]

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peakANOVA institution(s)
Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Espoo, Finland; School of Computing Science, University of Glasgow, Glasgow, UK; Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland.
peakANOVA funding source(s)
This work was supported by the Academy of Finland (Finnish Centre of Excellence in Computational Inference Research COIN, 251170; Computational Modeling of the Biological Effects of Chemicals, 140057), the Finnish Foundation for Technology Promotion and the Finnish Doctoral Programme in Computational Sciences FICS.

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