Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data
Joint Authors
Ogata, Yoshiyuki
Enomoto, Mitsuo
Kurabayashi, Atsushi
Iijima, Yoko
Motegi, Takeshi
Suzuki, Hideyuki
Ara, Takeshi
Shibata, Daisuke
Sakurai, Nozomu
Morishita, Yoshihiko
Nakajima, Daisuke
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Sakurai, Nozomu& Ara, Takeshi& Enomoto, Mitsuo& Motegi, Takeshi& Morishita, Yoshihiko& Kurabayashi, Atsushi…[et al.]. 2014. Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data. BioMed Research International،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-453546
Modern Language Association (MLA)
Sakurai, Nozomu…[et al.]. Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data. BioMed Research International No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-453546
American Medical Association (AMA)
Sakurai, Nozomu& Ara, Takeshi& Enomoto, Mitsuo& Motegi, Takeshi& Morishita, Yoshihiko& Kurabayashi, Atsushi…[et al.]. Tools and Databases of the KOMICS Web Portal for Preprocessing, Mining, and Dissemination of Metabolomics Data. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-453546
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453546