Literature DB >> 27797774

Web-igloo: a web based platform for multivariate data visualization.

Bhusan K Kuntal1, Sharmila S Mande1.   

Abstract

Motivation: The majority of data generated routinely from various experiments are essentially multivariate, often categorized with multiple experimental metadata. Analyzing such results with interactive visualizations often yields interesting and intuitive results which otherwise remains undisclosed.
Results: In this paper, we present Web-Igloo-a GUI based interactive 'feature decomposition independent' multivariate data visualization platform. Web-Igloo is likely to be a valuable contribution in the field of visual data mining, especially for researchers working with but not limited to multi-omics data. To demonstrate its utility, we have used a metagenomic dataset pertaining to the effect of multiple doses of antibiotic treatment on the human gut microbiome. Availability and Implementation: http://metagenomics.atc.tcs.com/webigloo and http://121.241.184.233/webigloo [Freely available for academic use]. Contact: sharmila@atc.tcs.com. Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Entities:  

Mesh:

Year:  2017        PMID: 27797774     DOI: 10.1093/bioinformatics/btw669

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

Review 1.  Visual exploration of microbiome data.

Authors:  Bhusan K Kuntal; Sharmila S Mande
Journal:  J Biosci       Date:  2019-10       Impact factor: 1.826

2.  'TIME': A Web Application for Obtaining Insights into Microbial Ecology Using Longitudinal Microbiome Data.

Authors:  Krishanu D Baksi; Bhusan K Kuntal; Sharmila S Mande
Journal:  Front Microbiol       Date:  2018-01-24       Impact factor: 5.640

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.