Open Access
Open access
Bioinformatics, volume 24, issue 15, pages 1733-1734

ChemmineR: a compound mining framework for R

Publication typeJournal Article
Publication date2008-07-02
Journal: Bioinformatics
scimago Q1
SJR2.574
CiteScore11.2
Impact factor4.4
ISSN13674803, 13674811, 14602059
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
Found 
Found 

Top-30

Journals

2
4
6
8
10
12
14
2
4
6
8
10
12
14

Publishers

10
20
30
40
50
60
70
10
20
30
40
50
60
70
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex | MLA
Found error?