Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btq436
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dc.titleMetdat: A modular and workflow-based free online pipeline for mass spectrometry data processing, analysis and interpretation
dc.contributor.authorBiswas, A.
dc.contributor.authorMynampati, K.C.
dc.contributor.authorUmashankar, S.
dc.contributor.authorReuben, S.
dc.contributor.authorParab, G.
dc.contributor.authorRao, R.
dc.contributor.authorKannan, V.S.
dc.contributor.authorSwarup, S.
dc.date.accessioned2014-06-17T08:20:46Z
dc.date.available2014-06-17T08:20:46Z
dc.date.issued2010-08-11
dc.identifier.citationBiswas, 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
dc.identifier.issn13674803
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/65798
dc.description.abstractAnalysis 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.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCIVIL ENGINEERING
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1093/bioinformatics/btq436
dc.description.sourcetitleBioinformatics
dc.description.volume26
dc.description.issue20
dc.description.page2639-2640
dc.description.codenBOINF
dc.identifier.isiut000282749700027
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