Igloo-Plot: a tool for visualization of multidimensional datasets.
Advances in science and technology have resulted in an exponential growth of multivariate (or multi-dimensional) datasets which are being generated from various research areas especially in the domain of biological sciences. Visualization and analysis of such data (with the objective of uncovering the hidden patterns therein) is an important and challenging task. We present a tool, called Igloo-Plot, for efficient visualization of multidimensional datasets. The tool addresses some of the key limitations of contemporary multivariate visualization and analysis tools. The visualization layout, not only facilitates an easy identification of clusters of data-points having similar feature compositions, but also the 'marker features' specific to each of these clusters. The applicability of the various functionalities implemented herein is demonstrated using several well studied multi-dimensional datasets. Igloo-Plot is expected to be a valuable resource for researchers working in multivariate data mining studies. Igloo-Plot is available for download from: http://metagenomics.atc.tcs.com/IglooPlot/.
Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.
Bhusan K
BK
Kuntal
Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.
Tarini Shankar
TS
Ghosh
Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India. Electronic address: sharmila.mande@tcs.com.
Sharmila S
SS
Mande
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D030541:Databases, Genetic; D006801:Humans; D012984:Software; D014584:User-Computer Interface
Algorithms; Data mining; Multivariate analysis; Software