Kuntal Bhusan K, Mande Sharmila S
Bio-Sciences R&D Division, TCS Research, Tata Research Development & Design Centre, Pune, Maharashtra 411 013, India.
Bioinformatics. 2017 Feb 15;33(4):615-617. doi: 10.1093/bioinformatics/btw669.
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.
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.
http://metagenomics.atc.tcs.com/webigloo and http://121.241.184.233/webigloo [Freely available for academic use].
Supplementary data are available at Bioinformatics online.
从各种实验中常规生成的大多数数据本质上都是多变量的，通常还带有多个实验元数据分类。使用交互式可视化分析此类结果通常会产生有趣且直观的结果，否则这些结果将不为人知。
在本文中，我们展示了Web-Igloo——一个基于图形用户界面（GUI）的交互式“独立特征分解”多变量数据可视化平台。Web-Igloo可能会在可视数据挖掘领域做出有价值的贡献，特别是对于处理但不限于多组学数据的研究人员。为了证明其效用，我们使用了一个关于多剂量抗生素治疗对人类肠道微生物群影响的宏基因组数据集。
http://metagenomics.atc.tcs.com/webigloo和http://121.241.184.233/webigloo [可免费用于学术用途]。
补充数据可在《生物信息学》在线获取。
