Please use this identifier to cite or link to this item: https://doi.org/bioinformatics/btq436
Title: Metdat: A modular and workflow-based free online pipeline for mass spectrometry data processing, analysis and interpretation
Authors: Biswas, A. 
Mynampati, K.C. 
Umashankar, S.
Reuben, S. 
Parab, G.
Rao, R. 
Kannan, V.S.
Swarup, S. 
Issue Date: 11-Aug-2010
Source: Biswas, A., Mynampati, K.C., Umashankar, S., Reuben, S., Parab, G., Rao, R., Kannan, V.S., Swarup, S. (2010-08-11). Metdat: A modular and workflow-based free online pipeline for mass spectrometry data processing, analysis and interpretation. Bioinformatics 26 (20) : 2639-2640. ScholarBank@NUS Repository. https://doi.org/bioinformatics/btq436
Abstract: Analysis of high throughput metabolomics experiments is a resource-intensive process that includes pre-processing, pretreatment and post-processing at each level of experimental hierarchy. We developed an interactive user-friendly online software called Metabolite Data Analysis Tool (MetDAT) for mass spectrometry data. It offers a pipeline of tools for file handling, data pre-processing, univariate and multivariate statistical analyses, database searching and pathway mapping. Outputs are produced in the form of text and high-quality images in real-time. MetDAT allows users to combine data management and experiment-centric workflows for optimization of metabolomics methods and metabolite analysis. © The Author 2010. Published by Oxford University Press. All rights reserved.
Source Title: Bioinformatics
URI: http://scholarbank.nus.edu.sg/handle/10635/65798
ISSN: 13674803
DOI: bioinformatics/btq436
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