Bucketing software tools | NMR-based metabolomics data analysis
The use of nuclear magnetic resonance (NMR) data coupled to chemometric methods has become increasingly popular in the last decade. However, a serious drawback of these approaches is the common misalignments of 1 H NMR spectra. To overcome this problem, bucketing or binning techniques have been used. In this work, an algorithm is proposed to perform an optimized bucketing that yields better results than the conventional bucketing implemented in some commercial software.
Assists users nuclear magnetic resonance (NMR)-based metabonomics or metabolomics spectral processing and data analysis. Automics is a highly integrated platform that was developed to aid researchers for processing high dimensional NMR spectroscopic data. In addition, features such as data organization, data preprocessing and a wide range of data investigation techniques for multivariate data analysis, classification and regression have been implemented.
Permits comprehensive metabolomics data pre-processing, statistical analysis and interpretation. W4M includes computational modules for data normalization, multivariate analysis and annotation. It can create interactive web-based documents showing the results of the analyses, and users can share them with collaborators directly on the platform. This tool enables multi-omics analyses in a global systems-biology approach.
Identifies metabolites in H-NMR spectra of complex mixtures. MetaboHunter is a web-server application based on two manually curated reference libraries. The software provides three distinct methods: (i) a scoring function, (ii) an iterative greedy selective approach and, (iii) selection approaches with a user adjustable chemical peak drift parameter. There are 4 functional views: (i) a Processing View, (ii) a Search Results View, (iii) a Plot View and, (iv) a Peaks Hit Map view.
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