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ChemmineR: a compound mining framework for R
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 integrati...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638865/ https://www.ncbi.nlm.nih.gov/pubmed/18596077 http://dx.doi.org/10.1093/bioinformatics/btn307 |
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author | Cao, Yiqun Charisi, Anna Cheng, Li-Chang Jiang, Tao Girke, Thomas |
author_facet | Cao, Yiqun Charisi, Anna Cheng, Li-Chang Jiang, Tao Girke, Thomas |
author_sort | Cao, Yiqun |
collection | PubMed |
description | 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 |
format | Text |
id | pubmed-2638865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26388652009-02-25 ChemmineR: a compound mining framework for R Cao, Yiqun Charisi, Anna Cheng, Li-Chang Jiang, Tao Girke, Thomas Bioinformatics Applications Note 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 Oxford University Press 2008-08-01 2008-07-02 /pmc/articles/PMC2638865/ /pubmed/18596077 http://dx.doi.org/10.1093/bioinformatics/btn307 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Cao, Yiqun Charisi, Anna Cheng, Li-Chang Jiang, Tao Girke, Thomas ChemmineR: a compound mining framework for R |
title | ChemmineR: a compound mining framework for R |
title_full | ChemmineR: a compound mining framework for R |
title_fullStr | ChemmineR: a compound mining framework for R |
title_full_unstemmed | ChemmineR: a compound mining framework for R |
title_short | ChemmineR: a compound mining framework for R |
title_sort | chemminer: a compound mining framework for r |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638865/ https://www.ncbi.nlm.nih.gov/pubmed/18596077 http://dx.doi.org/10.1093/bioinformatics/btn307 |
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