wCLUTO: A web-enabled clustering toolkit

As structural and functional genomics efforts provide the biological community with ever-broadening sets of interrelated data, the need to explore such complex information for subtle relationships expands. We present wCLUTO, a Web-enabled version of the stand-alone application CLUTO, designed to app...

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Bibliographic Details
Published in:Plant physiology (Bethesda) 2003-10, Vol.133 (2), p.510-516
Main Authors: Rasmussen, M.D, Deshpande, M.S, Karypis, G, Johnson, J, Crow, J.A, Retzel, E.F
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Algorithms
Bee clustering
Bioinformatics
Biological and medical sciences
Classical and quantitative genetics. Population genetics. Molecular genetics
clustering method
Computer Simulation
computer software
Data visualization
Datasets
Fundamental and applied biological sciences. Psychology
gene expression
Generalities. Genetics. Plant material
Genes
Genes. Genome
Genetics and breeding of economic plants
Genomics
Image Processing, Computer-Assisted
Internet
Internet resource
Mathematical vectors
messenger RNA
microarray technology
Molecular and cellular biology
Molecular genetics
Open source software
Plants - genetics
Research - trends
Research Design
transcription (genetics)
world wide web
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Summary:As structural and functional genomics efforts provide the biological community with ever-broadening sets of interrelated data, the need to explore such complex information for subtle relationships expands. We present wCLUTO, a Web-enabled version of the stand-alone application CLUTO, designed to apply clustering methods to genomic information. Its first application is focused on the clustering transcriptome data from microarrays. Data can be uploaded by the user into the clustering tool, a choice of several clustering methods can be made and configured, and data are presented to the user in a variety of visual formats, including a three-dimensional "mountain" view of the clusters. Parameters can be explored to rapidly examine a variety of clustering results, and the resulting clusters can be downloaded either for manipulation by other programs or to be saved in a format for publication.
ISSN:0032-0889
1532-2548
DOI:10.1104/pp.103.024885