Bioinformatics Advance Access originally published online on July 2, 2008
Bioinformatics 2008 24(15):1733-1734; doi:10.1093/bioinformatics/btn307
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ChemmineR: a compound mining framework for R
1Department of Computer Science and Engineering and 2Department of Botany and Plant Sciences, University of California, Riverside, California, USA
*To whom correspondence should be addressed.
| Abstract |
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Motivation: Software applications for structural similarity searching and clustering of small molecules play an important role in drug discovery and chemical genomics. Here, we present the first open-source compound mining framework for the popularstatistical programming environment R. The integration with a powerful statistical environment maximizes the flexibility, expandability and programmability of the provided analysis functions.
Results: We discuss the algorithms and compound mining utilities provided by the R package ChemmineR. It contains functions for structural similarity searching, clustering of compound libraries with a wide spectrum of classification algorithms and various utilities for managing complex compound data. It also offers a wide range of visualization functions for compound clusters and chemical structures. The package is well integrated with the online ChemMine environment and allows bidirectional communications between the two services.
Availability: ChemmineR is freely available as an R package from the ChemMine project site: http://bioweb.ucr.edu/ChemMineV2/chemminer
Contact: thomas.girke{at}ucr.edu
Associate Editor: Anna Tramontano
Received on April 21, 2008; revised on April 21, 2008; accepted on June 10, 2008