MetDAT

Authors:
Ambarish Biswas;Kalyan C. Mynampati;Shivshankar Umashankar;Sheela Reuben;Gauri Parab;Raghuraj Rao;Velayutham S. Kannan;Sanjay Swarup
Affiliations:
-;-;-;-;-;-;-;-
Venue:
Bioinformatics
Year:
2010

Citing 0
Cited 2

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HealthSec'12 Proceedings of the 3rd USENIX conference on Health Security and Privacy
An enhancement of the Role-Based Access Control model to facilitate information access management in context of team collaboration and workflow

Journal of Biomedical Informatics

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Abstract

Summary: Analysis of high throughput metabolomics experiments is a resource-intensive process that includes pre-processing, pre-treatment 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. Availability: MetDAT is available free for academic use from http://smbl.nus.edu.sg/METDAT2/. Contact: sanjay@nus.edu.sg