Name
Abstract | ||
|---|---|---|
Many different programs have been developed for the prediction of the secondary structure of an RNA sequence, Some of these programs generate an ensemble of structures, all of which have free energy close to that of the optimal structure, making it important to be able to quantify how similar these different structures are. To deal with this problem, we define a new class of metrics, the mountain metrics, on the set of RNA secondary structures of a fixed length, We compare properties of these metrics with other well known metrics on RNA secondary structures. We also study some global and local properties of these metrics. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1089/10665270050081522 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | DocType | Volume |
RNA secondary structure,pseudoknot,suboptimal secondary structures,metric,distance,similarity | Journal | 7.0 |
Issue | ISSN | Citations |
1-2 | 1066-5277 | 31 |
PageRank | References | Authors |
2.81 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vincent Moulton | 1 | 44 | 6.51 |
| Michael Zuker | 2 | 908 | 129.19 |
| M. A. Steel | 3 | 99 | 23.87 |
| robert f pointon | 4 | 31 | 2.81 |
| david penny | 5 | 31 | 2.81 |