ArticleBioMed research international2014
Tools and databases of the KOMICS web portal for preprocessing, mining, and dissemination of metabolomics data.
Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
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- The Thing Metabolome Repository family (XMRs): comparable untargeted metabolome databases for analyzing sample-specific unknown metabolites.Nucleic acids research · 2023Article
- Influenza virus entry and replication inhibited by 8-prenylnaringenin fromFood science & nutrition · 2022Article
- Metabolomic Profiles of the Creeping Wood SorrelLife (Basel, Switzerland) · 2022Article
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- Antiviral Activity and Underlying Action Mechanism of Euglena Extract against Influenza Virus.Nutrients · 2021Article
- Metabolomic Response of the Creeping Wood SorrelLife (Basel, Switzerland) · 2021Article
- Effect of Transgenic Rootstock Grafting on the Omics Profiles in Tomato.Food safety (Tokyo, Japan) · 2021Article
- TOMATOMET: A metabolome database consists of 7118 accurate mass values detected in mature fruits of 25 tomato cultivars.Plant direct · 2021Article
- MassBase: A large-scaled depository of mass spectrometry datasets for metabolome analysis.Plant biotechnology (Tokyo, Japan) · 2021Article
- Expression GWAS ofFrontiers in plant science · 2021Article
- Metabolome analysis revealed that soybean-Aspergillus oryzae interaction induced dynamic metabolic and daidzein prenylation changes.PloS one · 2021Article
- Metabolome analysis using multiple data mining approaches suggests luteolin biosynthesis inPlant biotechnology (Tokyo, Japan) · 2020Article
- Metabolome profile of Negi-Nira chive, an interspecies hybrid of green spring onion (Plant biotechnology (Tokyo, Japan) · 2020Article
- Metabolic diversification of nitrogen-containing metabolites by the expression of a heterologous lysine decarboxylase gene in Arabidopsis.The Plant journal : for cell and molecular biology · 2019Article
- Lipid remodeling regulator 1 (LRL1) is differently involved in the phosphorus-depletion response from PSR1 in Chlamydomonas reinhardtii.The Plant journal : for cell and molecular biology · 2019Article
- Mutation in the putative ketoacyl-ACP reductase CaKR1 induces loss of pungency in Capsicum.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
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- UC2 search: using unique connectivity of uncharged compounds for metabolite annotation by database searching in mass spectrometry-based metabolomics.Bioinformatics (Oxford, England) · 2018Article
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
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.
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