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https://doi.org/10.1093/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 | Citation: | 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/10.1093/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: | 10.1093/bioinformatics/btq436 |
Appears in Collections: | Staff Publications |
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