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Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btr179
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dc.titledatPAV-an online processing, analysis and visualization tool for exploratory investigation of experimental data
dc.contributor.authorBiswas, A.
dc.contributor.authorRao, R.
dc.contributor.authorUmashankar, S.
dc.contributor.authorMynampati, K.C.
dc.contributor.authorReuben, S.
dc.contributor.authorParab, G.
dc.contributor.authorSwarup, S.
dc.date.accessioned2014-06-17T05:29:26Z
dc.date.available2014-06-17T05:29:26Z
dc.date.issued2011-06
dc.identifier.citationBiswas, A., Rao, R., Umashankar, S., Mynampati, K.C., Reuben, S., Parab, G., Swarup, S. (2011-06). datPAV-an online processing, analysis and visualization tool for exploratory investigation of experimental data. Bioinformatics 27 (11) : 1585-1586. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btr179
dc.identifier.issn13674803
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/59000
dc.description.abstractData processing, analysis and visualization (datPAV) is an exploratory tool that allows experimentalist to quickly assess the general characteristics of the data. This platform-independent software is designed as a generic tool to process and visualize data matrices. This tool explores organization of the data, detect errors and support basic statistical analyses. Processed data can be reused whereby different step-by-step data processing/analysis workflows can be created to carry out detailed investigation. The visualization option provides publication-ready graphics. Applications of this tool are demonstrated at the web site for three cases of metabolomics, environmental and hydrodynamic data analysis. © The Author 2011. Published by Oxford University Press. All rights reserved.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.contributor.departmentCIVIL ENGINEERING
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1093/bioinformatics/btr179
dc.description.sourcetitleBioinformatics
dc.description.volume27
dc.description.issue11
dc.description.page1585-1586
dc.description.codenBOINF
dc.identifier.isiut000291062400024
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