Network structures and algorithms in Bioconductor
Open Access
- 5 August 2004
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 21 (1), 135-136
- https://doi.org/10.1093/bioinformatics/bth458
Abstract
Summary: In this paper, we review the central concepts and implementations of tools for working with network structures in Bioconductor. Interfaces to open source resources for visualization (AT&T Graphviz) and network algorithms (Boost) have been developed to support analysis of graphical structures in genomics and computational biology. Availability: Packages graph, Rgraphviz, RBGL of Bioconductor (www.bioconductor.org). Contact:stvjc@channing.harvard.eduKeywords
This publication has 3 references indexed in Scilit:
- WebInterViewer: visualizing and analyzing molecular interaction networksNucleic Acids Research, 2004
- A GFP-based assay for rapid screening of compounds affecting ARE-dependent mRNA turnoverNucleic Acids Research, 2004
- Gene Ontology: tool for the unification of biologyNature Genetics, 2000