ChemmineR: a compound mining framework for R

Autor: Li-Chang Cheng, Anna Charisi, Thomas Girke, Yiqun Cao, Tao Jiang
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Zdroj: Bioinformatics
Bioinformatics (Oxford, England), vol 24, iss 15
ISSN: 1460-2059
1367-4803
Popis: 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@ucr.edu
Databáze: OpenAIRE