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2014 ; 2014
(ä): 194812
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Tools and databases of the KOMICS web portal for preprocessing, mining, and
dissemination of metabolomics data
#MMPMID24949426
Sakurai N
; Ara T
; Enomoto M
; Motegi T
; Morishita Y
; Kurabayashi A
; Iijima Y
; Ogata Y
; Nakajima D
; Suzuki H
; Shibata D
Biomed Res Int
2014[]; 2014
(ä): 194812
PMID24949426
show ga
A metabolome--the collection of comprehensive quantitative data on metabolites in
an organism--has been increasingly utilized for applications such as
data-intensive systems biology, disease diagnostics, biomarker discovery, and
assessment of food quality. A considerable number of tools and databases have
been developed to date for the analysis of data generated by various combinations
of chromatography and mass spectrometry. We report here a web portal named KOMICS
(The Kazusa Metabolomics Portal), where the tools and databases that we developed
are available for free to academic users. KOMICS includes the tools and databases
for preprocessing, mining, visualization, and publication of metabolomics data.
Improvements in the annotation of unknown metabolites and dissemination of
comprehensive metabolomic data are the primary aims behind the development of
this portal. For this purpose, PowerGet and FragmentAlign include a manual
curation function for the results of metabolite feature alignments. A
metadata-specific wiki-based database, Metabolonote, functions as a hub of web
resources related to the submitters' work. This feature is expected to increase
citation of the submitters' work, thereby promoting data publication. As an
example of the practical use of KOMICS, a workflow for a study on Jatropha curcas
is presented. The tools and databases available at KOMICS should contribute to
enhanced production, interpretation, and utilization of metabolomic Big Data.