Title
RAG: RNA-As-Graphs web resource.
Abstract
The proliferation of structural and functional studies of RNA has revealed an increasing range of RNA's structural repertoire. Toward the objective of systematic cataloguing of RNA's structural repertoire, we have recently described the basis of a graphical approach for organizing RNA secondary structures, including existing and hypothetical motifs.We now present an RNA motif database based on graph theory, termed RAG for RNA-As-Graphs, to catalogue and rank all theoretically possible, including existing, candidate and hypothetical, RNA secondary motifs. The candidate motifs are predicted using a clustering algorithm that classifies RNA graphs into RNA-like and non-RNA groups. All RNA motifs are filed according to their graph vertex number (RNA length) and ranked by topological complexity.RAG's quantitative cataloguing allows facile retrieval of all classes of RNA secondary motifs, assists identification of structural and functional properties of user-supplied RNA sequences, and helps stimulate the search for novel RNAs based on predicted candidate motifs.
Year
DOI
Venue
2004
10.1186/1471-2105-5-88
BMC Bioinformatics
Keywords
Field
DocType
internet,algorithms,microarrays,computational biology,bioinformatics,rna secondary structure,software design,rna,computer graphics,graph theory
Web resource,RNA,Graph,Computer science,Repertoire,Bioinformatics,Computational biology,DNA microarray
Journal
Volume
Issue
ISSN
5
1
1471-2105
Citations 
PageRank 
References 
20
1.09
7
Authors
7
Name
Order
Citations
PageRank
Daniela Fera1433.35
Namhee Kim2606.09
Nahum Shiffeldrim3433.35
Julie Zorn4433.35
Uri Laserson5725.72
Hin Hark Gan6474.18
Tamar Schlick725162.71