title: MetDAT: a modular and workflow-based free online pipeline for mass spectrometry data processing, analysis and interpretation.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  MetDAT is available free for academic use from http://smbl.nus.edu.sg/METDAT2/.
  
  
  BACKGROUND
  sanjay@nus.edu.sg
authors: Singapore-Delft Water Alliance, National University of Singapore, Singapore 117576.
authors: Ambarish
authors: A
authors: Biswas
authors: Kalyan C
authors: KC
authors: Mynampati
authors: Shivshankar
authors: S
authors: Umashankar
authors: Sheela
authors: S
authors: Reuben
authors: Gauri
authors: G
authors: Parab
authors: Raghuraj
authors: R
authors: Rao
authors: Velayutham S
authors: VS
authors: Kannan
authors: Sanjay
authors: S
authors: Swarup
mesh_terms: D003628:Database Management Systems; D016208:Databases, Factual; D001330:Electronic Data Processing; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D012984:Software; D057188:Workflow