Open Access
Bioinformatics, volume 24, issue 15, pages 1733-1734
ChemmineR: a compound mining framework for R
Y. Cao
1
,
A Charisi
2
,
L.C. Cheng
2
,
Tao Jiang
2
,
Thomas Girke
2
Publication type: Journal Article
Publication date: 2008-07-02
Journal:
Bioinformatics
scimago Q1
SJR: 2.574
CiteScore: 11.2
Impact factor: 4.4
ISSN: 13674803, 13674811, 14602059
PubMed ID:
18596077
Biochemistry
Computer Science Applications
Molecular Biology
Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Abstract
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 popular statistical programming environment R. The integration with a powerful statistical environment maximizes the flexibility, expandability and programmability of the provided analysis functions.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.ChemmineR is freely available as an R package from the ChemMine project site: http://bioweb.ucr.edu/ChemMineV2/chemminer
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